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Implementation of CSR-DCF tracker (#1552) * Initial commit for CSR-DCF tracker implementation * Fixes for automatic build * General code fixes * Removed unused parameters. Added CSRT to automatic tests. * Fixed VS build warnings. Fixed a bug with gray sequences. * Fixed VS build errors for samples file.
60 lines
2.2 KiB
C++
60 lines
2.2 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef OPENCV_TRACKER_CSRT_SEGMENTATION
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#define OPENCV_TRACKER_CSRT_SEGMENTATION
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namespace cv
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{
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class Histogram
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{
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public:
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int m_numBinsPerDim;
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int m_numDim;
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Histogram() : m_numBinsPerDim(0), m_numDim(0) {}
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Histogram(int numDimensions, int numBinsPerDimension = 8);
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void extractForegroundHistogram(std::vector<cv::Mat> & imgChannels,
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cv::Mat weights, bool useMatWeights, int x1, int y1, int x2, int y2);
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void extractBackGroundHistogram(std::vector<cv::Mat> & imgChannels,
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int x1, int y1, int x2, int y2, int outer_x1, int outer_y1,
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int outer_x2, int outer_y2);
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cv::Mat backProject(std::vector<cv::Mat> & imgChannels);
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std::vector<double> getHistogramVector();
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void setHistogramVector(double *vector);
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private:
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int p_size;
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std::vector<double> p_bins;
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std::vector<int> p_dimIdCoef;
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inline double kernelProfile_Epanechnikov(double x)
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{ return (x <= 1) ? (2.0/CV_PI)*(1-x) : 0; }
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};
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class Segment
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{
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public:
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static std::pair<cv::Mat, cv::Mat> computePosteriors(std::vector<cv::Mat> & imgChannels,
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int x1, int y1, int x2, int y2, cv::Mat weights, cv::Mat fgPrior,
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cv::Mat bgPrior, const Histogram &fgHistPrior, int numBinsPerChannel = 16);
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static std::pair<cv::Mat, cv::Mat> computePosteriors2(std::vector<cv::Mat> & imgChannels,
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int x1, int y1, int x2, int y2, double p_b, cv::Mat fgPrior,
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cv::Mat bgPrior, Histogram hist_target, Histogram hist_background);
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static std::pair<cv::Mat, cv::Mat> computePosteriors2(std::vector<cv::Mat> &imgChannels,
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cv::Mat fgPrior, cv::Mat bgPrior, Histogram hist_target, Histogram hist_background);
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private:
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static std::pair<cv::Mat, cv::Mat> getRegularizedSegmentation(cv::Mat & prob_o,
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cv::Mat & prob_b, cv::Mat &prior_o, cv::Mat &prior_b);
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inline static double gaussian(double x2, double y2, double std2){
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return exp(-(x2 + y2)/(2*std2))/(2*CV_PI*std2);
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}
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};
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}//cv namespace
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#endif
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