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<div class="subTitle">org.opencv.video</div>
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<h2 title="Class Video" class="title">Class Video</h2>
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<li>java.lang.Object</li>
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<li>org.opencv.video.Video</li>
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<pre>public class <span class="typeNameLabel">Video</span>
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extends java.lang.Object</pre>
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#MOTION_AFFINE">MOTION_AFFINE</a></span></code> </td>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#MOTION_EUCLIDEAN">MOTION_EUCLIDEAN</a></span></code> </td>
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</tr>
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#MOTION_HOMOGRAPHY">MOTION_HOMOGRAPHY</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#MOTION_TRANSLATION">MOTION_TRANSLATION</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#OPTFLOW_FARNEBACK_GAUSSIAN">OPTFLOW_FARNEBACK_GAUSSIAN</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#OPTFLOW_LK_GET_MIN_EIGENVALS">OPTFLOW_LK_GET_MIN_EIGENVALS</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#OPTFLOW_USE_INITIAL_FLOW">OPTFLOW_USE_INITIAL_FLOW</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#TrackerSamplerCSC_MODE_DETECT">TrackerSamplerCSC_MODE_DETECT</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#TrackerSamplerCSC_MODE_INIT_NEG">TrackerSamplerCSC_MODE_INIT_NEG</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#TrackerSamplerCSC_MODE_INIT_POS">TrackerSamplerCSC_MODE_INIT_POS</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#TrackerSamplerCSC_MODE_TRACK_NEG">TrackerSamplerCSC_MODE_TRACK_NEG</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#TrackerSamplerCSC_MODE_TRACK_POS">TrackerSamplerCSC_MODE_TRACK_POS</a></span></code> </td>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#Video--">Video</a></span>()</code> </td>
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<h3>Method Summary</h3>
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<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption>
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<tr>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<th class="colLast" scope="col">Method and Description</th>
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</tr>
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<tr id="i0" class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel)</code>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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</td>
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</tr>
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<tr id="i1" class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
|
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boolean withDerivatives)</code>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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</td>
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</tr>
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<tr id="i2" class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder)</code>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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</td>
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</tr>
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<tr id="i3" class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder,
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int derivBorder)</code>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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</td>
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</tr>
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<tr id="i4" class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-boolean-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder,
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int derivBorder,
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boolean tryReuseInputImage)</code>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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</td>
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</tr>
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<tr id="i5" class="rowColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowFarneback-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-int-int-int-int-double-int-">calcOpticalFlowFarneback</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prev,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> next,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow,
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double pyr_scale,
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int levels,
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int winsize,
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int iterations,
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int poly_n,
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double poly_sigma,
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int flags)</code>
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<div class="block">Computes a dense optical flow using the Gunnar Farneback's algorithm.</div>
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</td>
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</tr>
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<tr id="i6" class="altColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
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<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
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<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
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<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err)</code>
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<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
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pyramids.</div>
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</td>
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</tr>
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<tr id="i7" class="rowColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
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<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
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<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
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<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize)</code>
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<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
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pyramids.</div>
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</td>
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</tr>
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<tr id="i8" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel)</code>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i9" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</code>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i10" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
int flags)</code>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i11" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-double-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
int flags,
|
|
double minEigThreshold)</code>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i12" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#CamShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">CamShift</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> probImage,
|
|
<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> window,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</code>
|
|
<div class="block">Finds an object center, size, and orientation.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i13" class="rowColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#computeECC-org.opencv.core.Mat-org.opencv.core.Mat-">computeECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage)</code>
|
|
<div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i14" class="altColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#computeECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">computeECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask)</code>
|
|
<div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i15" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN--">createBackgroundSubtractorKNN</a></span>()</code>
|
|
<div class="block">Creates KNN Background Subtractor
|
|
|
|
whether a pixel is close to that sample.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i16" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-">createBackgroundSubtractorKNN</a></span>(int history)</code>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i17" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-double-">createBackgroundSubtractorKNN</a></span>(int history,
|
|
double dist2Threshold)</code>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i18" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-double-boolean-">createBackgroundSubtractorKNN</a></span>(int history,
|
|
double dist2Threshold,
|
|
boolean detectShadows)</code>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i19" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2--">createBackgroundSubtractorMOG2</a></span>()</code>
|
|
<div class="block">Creates MOG2 Background Subtractor
|
|
|
|
to decide whether a pixel is well described by the background model.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i20" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-">createBackgroundSubtractorMOG2</a></span>(int history)</code>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i21" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-double-">createBackgroundSubtractorMOG2</a></span>(int history,
|
|
double varThreshold)</code>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i22" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-double-boolean-">createBackgroundSubtractorMOG2</a></span>(int history,
|
|
double varThreshold,
|
|
boolean detectShadows)</code>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i23" class="rowColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix)</code> </td>
|
|
</tr>
|
|
<tr id="i24" class="altColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
|
|
int motionType)</code> </td>
|
|
</tr>
|
|
<tr id="i25" class="rowColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
|
|
int motionType,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</code> </td>
|
|
</tr>
|
|
<tr id="i26" class="altColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
|
|
int motionType,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask)</code> </td>
|
|
</tr>
|
|
<tr id="i27" class="rowColor">
|
|
<td class="colFirst"><code>static double</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-int-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
|
|
int motionType,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask,
|
|
int gaussFiltSize)</code>
|
|
<div class="block">Finds the geometric transform (warp) between two images in terms of the ECC criterion CITE: EP08 .</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i28" class="altColor">
|
|
<td class="colFirst"><code>static int</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#meanShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">meanShift</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> probImage,
|
|
<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> window,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</code>
|
|
<div class="block">Finds an object on a back projection image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i29" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#readOpticalFlow-java.lang.String-">readOpticalFlow</a></span>(java.lang.String path)</code>
|
|
<div class="block">Read a .flo file</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i30" class="altColor">
|
|
<td class="colFirst"><code>static boolean</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#writeOpticalFlow-java.lang.String-org.opencv.core.Mat-">writeOpticalFlow</a></span>(java.lang.String path,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow)</code>
|
|
<div class="block">Write a .flo to disk</div>
|
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</td>
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</tr>
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</table>
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<ul class="blockList">
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<li class="blockList"><a name="methods.inherited.from.class.java.lang.Object">
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<!-- -->
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</a>
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<h3>Methods inherited from class java.lang.Object</h3>
|
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<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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</ul>
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</li>
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</ul>
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</li>
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</ul>
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</div>
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<div class="details">
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<ul class="blockList">
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<li class="blockList">
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<!-- ============ FIELD DETAIL =========== -->
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<ul class="blockList">
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<li class="blockList"><a name="field.detail">
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<!-- -->
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</a>
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<h3>Field Detail</h3>
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<a name="MOTION_AFFINE">
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</a>
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<ul class="blockList">
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<li class="blockList">
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<h4>MOTION_AFFINE</h4>
|
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<pre>public static final int MOTION_AFFINE</pre>
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<dl>
|
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<dt><span class="seeLabel">See Also:</span></dt>
|
|
<dd><a href="../../../constant-values.html#org.opencv.video.Video.MOTION_AFFINE">Constant Field Values</a></dd>
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</dl>
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</li>
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</ul>
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<pre>public static int buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel)</pre>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>img</code> - 8-bit input image.</dd>
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<dd><code>pyramid</code> - output pyramid.</dd>
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<dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
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calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
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<dd><code>maxLevel</code> - 0-based maximal pyramid level number.
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constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.
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to force data copying.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
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<pre>public static int buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
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boolean withDerivatives)</pre>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>img</code> - 8-bit input image.</dd>
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<dd><code>pyramid</code> - output pyramid.</dd>
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<dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
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calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
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<dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
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<dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
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constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.
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to force data copying.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<pre>public static int buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder)</pre>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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<dd><code>img</code> - 8-bit input image.</dd>
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<dd><code>pyramid</code> - output pyramid.</dd>
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<dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
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calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
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<dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
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<dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
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constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
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<dd><code>pyrBorder</code> - the border mode for pyramid layers.
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to force data copying.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
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<pre>public static int buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder,
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int derivBorder)</pre>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>img</code> - 8-bit input image.</dd>
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<dd><code>pyramid</code> - output pyramid.</dd>
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<dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
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calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
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<dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
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<dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
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constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
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<dd><code>pyrBorder</code> - the border mode for pyramid layers.</dd>
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<dd><code>derivBorder</code> - the border mode for gradients.
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to force data copying.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
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<pre>public static int buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
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java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> pyramid,
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<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
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int maxLevel,
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boolean withDerivatives,
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int pyrBorder,
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int derivBorder,
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boolean tryReuseInputImage)</pre>
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<div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>img</code> - 8-bit input image.</dd>
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<dd><code>pyramid</code> - output pyramid.</dd>
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<dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
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calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
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<dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
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<dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
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constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
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<dd><code>pyrBorder</code> - the border mode for pyramid layers.</dd>
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<dd><code>derivBorder</code> - the border mode for gradients.</dd>
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<dd><code>tryReuseInputImage</code> - put ROI of input image into the pyramid if possible. You can pass false
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to force data copying.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
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<h4>calcOpticalFlowFarneback</h4>
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<pre>public static void calcOpticalFlowFarneback(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prev,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> next,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow,
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double pyr_scale,
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int levels,
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int winsize,
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int iterations,
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int poly_n,
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double poly_sigma,
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int flags)</pre>
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<div class="block">Computes a dense optical flow using the Gunnar Farneback's algorithm.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>prev</code> - first 8-bit single-channel input image.</dd>
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<dd><code>next</code> - second input image of the same size and the same type as prev.</dd>
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<dd><code>flow</code> - computed flow image that has the same size as prev and type CV_32FC2.</dd>
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<dd><code>pyr_scale</code> - parameter, specifying the image scale (<1) to build pyramids for each image;
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pyr_scale=0.5 means a classical pyramid, where each next layer is twice smaller than the previous
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one.</dd>
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<dd><code>levels</code> - number of pyramid layers including the initial image; levels=1 means that no extra
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layers are created and only the original images are used.</dd>
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<dd><code>winsize</code> - averaging window size; larger values increase the algorithm robustness to image
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noise and give more chances for fast motion detection, but yield more blurred motion field.</dd>
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<dd><code>iterations</code> - number of iterations the algorithm does at each pyramid level.</dd>
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<dd><code>poly_n</code> - size of the pixel neighborhood used to find polynomial expansion in each pixel;
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larger values mean that the image will be approximated with smoother surfaces, yielding more
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robust algorithm and more blurred motion field, typically poly_n =5 or 7.</dd>
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<dd><code>poly_sigma</code> - standard deviation of the Gaussian that is used to smooth derivatives used as a
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basis for the polynomial expansion; for poly_n=5, you can set poly_sigma=1.1, for poly_n=7, a
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good value would be poly_sigma=1.5.</dd>
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<dd><code>flags</code> - operation flags that can be a combination of the following:
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<ul>
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<li>
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<b>OPTFLOW_USE_INITIAL_FLOW</b> uses the input flow as an initial flow approximation.
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</li>
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<li>
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<b>OPTFLOW_FARNEBACK_GAUSSIAN</b> uses the Gaussian \(\texttt{winsize}\times\texttt{winsize}\)
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filter instead of a box filter of the same size for optical flow estimation; usually, this
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option gives z more accurate flow than with a box filter, at the cost of lower speed;
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normally, winsize for a Gaussian window should be set to a larger value to achieve the same
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level of robustness.
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</li>
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</ul>
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The function finds an optical flow for each prev pixel using the CITE: Farneback2003 algorithm so that
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\(\texttt{prev} (y,x) \sim \texttt{next} ( y + \texttt{flow} (y,x)[1], x + \texttt{flow} (y,x)[0])\)
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<b>Note:</b>
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<ul>
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<li>
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An example using the optical flow algorithm described by Gunnar Farneback can be found at
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opencv_source_code/samples/cpp/fback.cpp
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</li>
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<li>
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(Python) An example using the optical flow algorithm described by Gunnar Farneback can be
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found at opencv_source_code/samples/python/opt_flow.py
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</li>
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</ul></dd>
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<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-">
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<h4>calcOpticalFlowPyrLK</h4>
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<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err)</pre>
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<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.
|
|
<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
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</dl>
|
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</li>
|
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</ul>
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<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-">
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<h4>calcOpticalFlowPyrLK</h4>
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<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize)</pre>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).</dd>
|
|
<dd><code>winSize</code> - size of the search window at each pyramid level.
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.
|
|
<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-">
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</a>
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<ul class="blockList">
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<h4>calcOpticalFlowPyrLK</h4>
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<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel)</pre>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).</dd>
|
|
<dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
|
|
<dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.
|
|
<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-">
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</a>
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<ul class="blockList">
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<li class="blockList">
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<h4>calcOpticalFlowPyrLK</h4>
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<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</pre>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).</dd>
|
|
<dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
|
|
<dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
|
|
<dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.
|
|
<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
|
<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-">
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<!-- -->
|
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</a>
|
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<ul class="blockList">
|
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<li class="blockList">
|
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<h4>calcOpticalFlowPyrLK</h4>
|
|
<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
int flags)</pre>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).</dd>
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|
<dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
|
|
<dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
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<dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.</dd>
|
|
<dd><code>flags</code> - operation flags:
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<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
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</dl>
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</li>
|
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</ul>
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<a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-double-">
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<h4>calcOpticalFlowPyrLK</h4>
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<pre>public static void calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> prevImg,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> nextImg,
|
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<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> prevPts,
|
|
<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> nextPts,
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> status,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> err,
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
|
|
int maxLevel,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
|
|
int flags,
|
|
double minEigThreshold)</pre>
|
|
<div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
|
|
pyramids.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
|
|
<dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
|
|
<dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
|
|
single-precision floating-point numbers.</dd>
|
|
<dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
|
|
containing the calculated new positions of input features in the second image; when
|
|
OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
|
|
<dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
|
|
the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
|
|
<dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
|
|
corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
|
|
found then the error is not defined (use the status parameter to find such cases).</dd>
|
|
<dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
|
|
<dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
|
|
level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
|
|
algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
|
|
<dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
|
|
(after the specified maximum number of iterations criteria.maxCount or when the search window
|
|
moves by less than criteria.epsilon.</dd>
|
|
<dd><code>flags</code> - operation flags:
|
|
<ul>
|
|
<li>
|
|
<b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
|
|
not set, then prevPts is copied to nextPts and is considered the initial estimate.
|
|
</li>
|
|
<li>
|
|
<b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
|
|
minEigThreshold description); if the flag is not set, then L1 distance between patches
|
|
around the original and a moved point, divided by number of pixels in a window, is used as a
|
|
error measure.</dd>
|
|
<dd><code>minEigThreshold</code> - the algorithm calculates the minimum eigen value of a 2x2 normal matrix of
|
|
optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
|
|
by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
|
|
feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
|
|
performance boost.
|
|
</li>
|
|
</ul>
|
|
|
|
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
|
|
CITE: Bouguet00 . The function is parallelized with the TBB library.
|
|
|
|
<b>Note:</b>
|
|
|
|
<ul>
|
|
<li>
|
|
An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/cpp/lkdemo.cpp
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade optical flow algorithm can be found at
|
|
opencv_source_code/samples/python/lk_track.py
|
|
</li>
|
|
<li>
|
|
(Python) An example using the Lucas-Kanade tracker for homography matching can be found at
|
|
opencv_source_code/samples/python/lk_homography.py
|
|
</li>
|
|
</ul></dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="CamShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">
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<h4>CamShift</h4>
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<pre>public static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> CamShift(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> probImage,
|
|
<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> window,
|
|
<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</pre>
|
|
<div class="block">Finds an object center, size, and orientation.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>probImage</code> - Back projection of the object histogram. See calcBackProject.</dd>
|
|
<dd><code>window</code> - Initial search window.</dd>
|
|
<dd><code>criteria</code> - Stop criteria for the underlying meanShift.
|
|
returns
|
|
(in old interfaces) Number of iterations CAMSHIFT took to converge
|
|
The function implements the CAMSHIFT object tracking algorithm CITE: Bradski98 . First, it finds an
|
|
object center using meanShift and then adjusts the window size and finds the optimal rotation. The
|
|
function returns the rotated rectangle structure that includes the object position, size, and
|
|
orientation. The next position of the search window can be obtained with RotatedRect::boundingRect()
|
|
|
|
See the OpenCV sample camshiftdemo.c that tracks colored objects.
|
|
|
|
<b>Note:</b>
|
|
<ul>
|
|
<li>
|
|
(Python) A sample explaining the camshift tracking algorithm can be found at
|
|
opencv_source_code/samples/python/camshift.py
|
|
</li>
|
|
</ul></dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="computeECC-org.opencv.core.Mat-org.opencv.core.Mat-">
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<h4>computeECC</h4>
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<pre>public static double computeECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage)</pre>
|
|
<div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
|
|
<dd><code>inputImage</code> - single-channel input image to be warped to provide an image similar to
|
|
templateImage, same type as templateImage.
|
|
|
|
SEE:
|
|
findTransformECC</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="computeECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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<h4>computeECC</h4>
|
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<pre>public static double computeECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask)</pre>
|
|
<div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
|
|
<dd><code>inputImage</code> - single-channel input image to be warped to provide an image similar to
|
|
templateImage, same type as templateImage.</dd>
|
|
<dd><code>inputMask</code> - An optional mask to indicate valid values of inputImage.
|
|
|
|
SEE:
|
|
findTransformECC</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="createBackgroundSubtractorKNN--">
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<h4>createBackgroundSubtractorKNN</h4>
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a> createBackgroundSubtractorKNN()</pre>
|
|
<div class="block">Creates KNN Background Subtractor
|
|
|
|
whether a pixel is close to that sample. This parameter does not affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</div>
|
|
<dl>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
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</ul>
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<a name="createBackgroundSubtractorKNN-int-">
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<h4>createBackgroundSubtractorKNN</h4>
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a> createBackgroundSubtractorKNN(int history)</pre>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.
|
|
whether a pixel is close to that sample. This parameter does not affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
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</ul>
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<h4>createBackgroundSubtractorKNN</h4>
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a> createBackgroundSubtractorKNN(int history,
|
|
double dist2Threshold)</pre>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.</dd>
|
|
<dd><code>dist2Threshold</code> - Threshold on the squared distance between the pixel and the sample to decide
|
|
whether a pixel is close to that sample. This parameter does not affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="createBackgroundSubtractorKNN-int-double-boolean-">
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<h4>createBackgroundSubtractorKNN</h4>
|
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a> createBackgroundSubtractorKNN(int history,
|
|
double dist2Threshold,
|
|
boolean detectShadows)</pre>
|
|
<div class="block">Creates KNN Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.</dd>
|
|
<dd><code>dist2Threshold</code> - Threshold on the squared distance between the pixel and the sample to decide
|
|
whether a pixel is close to that sample. This parameter does not affect the background update.</dd>
|
|
<dd><code>detectShadows</code> - If true, the algorithm will detect shadows and mark them. It decreases the
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="createBackgroundSubtractorMOG2--">
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<h4>createBackgroundSubtractorMOG2</h4>
|
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a> createBackgroundSubtractorMOG2()</pre>
|
|
<div class="block">Creates MOG2 Background Subtractor
|
|
|
|
to decide whether a pixel is well described by the background model. This parameter does not
|
|
affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</div>
|
|
<dl>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="createBackgroundSubtractorMOG2-int-">
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<h4>createBackgroundSubtractorMOG2</h4>
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a> createBackgroundSubtractorMOG2(int history)</pre>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.
|
|
to decide whether a pixel is well described by the background model. This parameter does not
|
|
affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
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<a name="createBackgroundSubtractorMOG2-int-double-">
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<h4>createBackgroundSubtractorMOG2</h4>
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a> createBackgroundSubtractorMOG2(int history,
|
|
double varThreshold)</pre>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.</dd>
|
|
<dd><code>varThreshold</code> - Threshold on the squared Mahalanobis distance between the pixel and the model
|
|
to decide whether a pixel is well described by the background model. This parameter does not
|
|
affect the background update.
|
|
speed a bit, so if you do not need this feature, set the parameter to false.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
|
|
<a name="createBackgroundSubtractorMOG2-int-double-boolean-">
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<h4>createBackgroundSubtractorMOG2</h4>
|
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<pre>public static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a> createBackgroundSubtractorMOG2(int history,
|
|
double varThreshold,
|
|
boolean detectShadows)</pre>
|
|
<div class="block">Creates MOG2 Background Subtractor</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>history</code> - Length of the history.</dd>
|
|
<dd><code>varThreshold</code> - Threshold on the squared Mahalanobis distance between the pixel and the model
|
|
to decide whether a pixel is well described by the background model. This parameter does not
|
|
affect the background update.</dd>
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<dd><code>detectShadows</code> - If true, the algorithm will detect shadows and mark them. It decreases the
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speed a bit, so if you do not need this feature, set the parameter to false.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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<h4>findTransformECC</h4>
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<pre>public static double findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix)</pre>
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<pre>public static double findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
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int motionType)</pre>
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<h4>findTransformECC</h4>
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<pre>public static double findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
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int motionType,
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<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</pre>
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<pre>public static double findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
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int motionType,
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<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask)</pre>
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<h4>findTransformECC</h4>
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<pre>public static double findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templateImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputImage,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> warpMatrix,
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int motionType,
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<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inputMask,
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int gaussFiltSize)</pre>
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<div class="block">Finds the geometric transform (warp) between two images in terms of the ECC criterion CITE: EP08 .</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
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<dd><code>inputImage</code> - single-channel input image which should be warped with the final warpMatrix in
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order to provide an image similar to templateImage, same type as templateImage.</dd>
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<dd><code>warpMatrix</code> - floating-point \(2\times 3\) or \(3\times 3\) mapping matrix (warp).</dd>
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<dd><code>motionType</code> - parameter, specifying the type of motion:
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<ul>
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<li>
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<b>MOTION_TRANSLATION</b> sets a translational motion model; warpMatrix is \(2\times 3\) with
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the first \(2\times 2\) part being the unity matrix and the rest two parameters being
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estimated.
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</li>
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<li>
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<b>MOTION_EUCLIDEAN</b> sets a Euclidean (rigid) transformation as motion model; three
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parameters are estimated; warpMatrix is \(2\times 3\).
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</li>
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<li>
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<b>MOTION_AFFINE</b> sets an affine motion model (DEFAULT); six parameters are estimated;
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warpMatrix is \(2\times 3\).
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</li>
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<li>
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<b>MOTION_HOMOGRAPHY</b> sets a homography as a motion model; eight parameters are
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estimated;\<code>warpMatrix\</code> is \(3\times 3\).</dd>
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<dd><code>criteria</code> - parameter, specifying the termination criteria of the ECC algorithm;
|
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criteria.epsilon defines the threshold of the increment in the correlation coefficient between two
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iterations (a negative criteria.epsilon makes criteria.maxcount the only termination criterion).
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Default values are shown in the declaration above.</dd>
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<dd><code>inputMask</code> - An optional mask to indicate valid values of inputImage.</dd>
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<dd><code>gaussFiltSize</code> - An optional value indicating size of gaussian blur filter; (DEFAULT: 5)
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</li>
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</ul>
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The function estimates the optimum transformation (warpMatrix) with respect to ECC criterion
|
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(CITE: EP08), that is
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|
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\(\texttt{warpMatrix} = \arg\max_{W} \texttt{ECC}(\texttt{templateImage}(x,y),\texttt{inputImage}(x',y'))\)
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where
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\(\begin{bmatrix} x' \\ y' \end{bmatrix} = W \cdot \begin{bmatrix} x \\ y \\ 1 \end{bmatrix}\)
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(the equation holds with homogeneous coordinates for homography). It returns the final enhanced
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correlation coefficient, that is the correlation coefficient between the template image and the
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final warped input image. When a \(3\times 3\) matrix is given with motionType =0, 1 or 2, the third
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row is ignored.
|
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|
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Unlike findHomography and estimateRigidTransform, the function findTransformECC implements an
|
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area-based alignment that builds on intensity similarities. In essence, the function updates the
|
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initial transformation that roughly aligns the images. If this information is missing, the identity
|
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warp (unity matrix) is used as an initialization. Note that if images undergo strong
|
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displacements/rotations, an initial transformation that roughly aligns the images is necessary
|
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(e.g., a simple euclidean/similarity transform that allows for the images showing the same image
|
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content approximately). Use inverse warping in the second image to take an image close to the first
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one, i.e. use the flag WARP_INVERSE_MAP with warpAffine or warpPerspective. See also the OpenCV
|
|
sample image_alignment.cpp that demonstrates the use of the function. Note that the function throws
|
|
an exception if algorithm does not converges.
|
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SEE:
|
|
computeECC, estimateAffine2D, estimateAffinePartial2D, findHomography</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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</li>
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</ul>
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<a name="meanShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">
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<h4>meanShift</h4>
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<pre>public static int meanShift(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> probImage,
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<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> window,
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<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</pre>
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<div class="block">Finds an object on a back projection image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>probImage</code> - Back projection of the object histogram. See calcBackProject for details.</dd>
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<dd><code>window</code> - Initial search window.</dd>
|
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<dd><code>criteria</code> - Stop criteria for the iterative search algorithm.
|
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returns
|
|
: Number of iterations CAMSHIFT took to converge.
|
|
The function implements the iterative object search algorithm. It takes the input back projection of
|
|
an object and the initial position. The mass center in window of the back projection image is
|
|
computed and the search window center shifts to the mass center. The procedure is repeated until the
|
|
specified number of iterations criteria.maxCount is done or until the window center shifts by less
|
|
than criteria.epsilon. The algorithm is used inside CamShift and, unlike CamShift , the search
|
|
window size or orientation do not change during the search. You can simply pass the output of
|
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calcBackProject to this function. But better results can be obtained if you pre-filter the back
|
|
projection and remove the noise. For example, you can do this by retrieving connected components
|
|
with findContours , throwing away contours with small area ( contourArea ), and rendering the
|
|
remaining contours with drawContours.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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</li>
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</ul>
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<h4>readOpticalFlow</h4>
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<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> readOpticalFlow(java.lang.String path)</pre>
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<div class="block">Read a .flo file</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>path</code> - Path to the file to be loaded
|
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The function readOpticalFlow loads a flow field from a file and returns it as a single matrix.
|
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Resulting Mat has a type CV_32FC2 - floating-point, 2-channel. First channel corresponds to the
|
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flow in the horizontal direction (u), second - vertical (v).</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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</li>
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</ul>
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<h4>writeOpticalFlow</h4>
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<pre>public static boolean writeOpticalFlow(java.lang.String path,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow)</pre>
|
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<div class="block">Write a .flo to disk</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>path</code> - Path to the file to be written</dd>
|
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<dd><code>flow</code> - Flow field to be stored
|
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|
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The function stores a flow field in a file, returns true on success, false otherwise.
|
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The flow field must be a 2-channel, floating-point matrix (CV_32FC2). First channel corresponds
|
|
to the flow in the horizontal direction (u), second - vertical (v).</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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</li>
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</ul>
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</li>
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</ul>
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</li>
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<p class="legalCopy"><small>Generated on 2021-12-25 08:13:27 / OpenCV 4.5.5</small></p>
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