Package org.opencv.video
Class SparseOpticalFlow
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.video.SparseOpticalFlow
 
 
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- Direct Known Subclasses:
- SparsePyrLKOpticalFlow
 
 public class SparseOpticalFlow extends Algorithm Base interface for sparse optical flow algorithms.
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Constructor SummaryConstructors Modifier Constructor Description protectedSparseOpticalFlow(long addr)
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Method SummaryAll Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static SparseOpticalFlow__fromPtr__(long addr)voidcalc(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status)Calculates a sparse optical flow.voidcalc(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status, Mat err)Calculates a sparse optical flow.protected voidfinalize()- 
Methods inherited from class org.opencv.core.Algorithmclear, empty, getDefaultName, getNativeObjAddr, save
 
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Method Detail- 
__fromPtr__public static SparseOpticalFlow __fromPtr__(long addr) 
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calcpublic void calc(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status, Mat err) Calculates a sparse optical flow.- Parameters:
- prevImg- First input image.
- nextImg- Second input image of the same size and the same type as prevImg.
- prevPts- Vector of 2D points for which the flow needs to be found.
- nextPts- Output vector of 2D points containing the calculated new positions of input features in the second image.
- status- Output status vector. 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.
- err- Optional output vector that contains error response for each point (inverse confidence).
 
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calcpublic void calc(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status) Calculates a sparse optical flow.- Parameters:
- prevImg- First input image.
- nextImg- Second input image of the same size and the same type as prevImg.
- prevPts- Vector of 2D points for which the flow needs to be found.
- nextPts- Output vector of 2D points containing the calculated new positions of input features in the second image.
- status- Output status vector. 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.
 
 
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