Package org.opencv.video
Class SparseOpticalFlow
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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 Summary
Constructors Modifier Constructor Description protectedSparseOpticalFlow(long addr)
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Method Summary
All 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.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save
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Method Detail
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__fromPtr__
public static SparseOpticalFlow __fromPtr__(long addr)
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calc
public 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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calc
public 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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