I have built the opencv_contirb for opencv 3.1, and I got the tracking module.
The document :
http://docs.opencv.org/trunk/dc/d75/classcv_1_1TrackerSamplerAlgorithm.html#gsc.tab=0
The 3.0 doc also introduce the method :
http://docs.opencv.org/3.0-beta/modules/tracking/doc/common_interfaces_tracker_sampler.html
I've tried the TrackerSampler::addTrackerSamplerAlgorithm and rewrote to the particle filter version myself below:
#include <opencv2\core.hpp>
#include <opencv2\video.hpp>
#include <opencv2\highgui.hpp>
#include <opencv2\tracking.hpp>
#include <opencv2\tracking\tracker.hpp>
#include <opencv2\tracking\feature.hpp>
using namespace std ;
using namespace cv ;
...
...
Mat src ; // video frame
Rect boundingBox ; // boundingBox the target Rect
Mat roi = Mat(src ,boundingBox) ;
vector<Mat> sampleImg ;
Ptr<TrackerSamplerAlgorithm> PFSampler = new TrackerSamplerPF( roi, TrackerSamplerPF::Params() ) ;
Ptr<TrackerSampler> sampler = new TrackerSampler() ;
if( sampler->addTrackerSamplerAlgorithm( PFSampler ) ) {
cout << PFSampler->getClassName() << endl ; // check the 'pf' mode ;
PFSampler->sampling( src, boundingBox, sampleImg ) ; // <---------- it occured error here
} // if
The error seemed something is empty but I tracked the function work found this :
The error message:
OpenCV Error: Assertion failed (0 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows) in cv::Mat::Mat, file C:\OpenCV\source\modules\core\src\matrix.cpp, line 477
bool TrackerSamplerPF::samplingImpl( const Mat& image, Rect boundingBox, std::vector<Mat>& sample ){
Ptr<TrackerTargetState> ptr;
Mat_<double> _last_guess=(Mat_<double>(1,4)<<(double)boundingBox.x,(double)boundingBox.y,
(double)boundingBox.x+boundingBox.width,(double)boundingBox.y+boundingBox.height);
PFSolver* promoted_solver=dynamic_cast<PFSolver*>(static_cast<MinProblemSolver*>(_solver));
promoted_solver->setParamsSTD(params.std);
promoted_solver->minimize(_last_guess);
dynamic_cast<TrackingFunctionPF*>(static_cast<MinProblemSolver::Function*>(promoted_solver->getFunction()))->update(image);
while(promoted_solver->iteration() <= promoted_solver->getTermCriteria().maxCount);
promoted_solver->getOptParam(_last_guess);
Rect res=Rect(Point_<int>((int)_last_guess(0,0),(int)_last_guess(0,1)),Point_<int>((int)_last_guess(0,2),(int)_last_guess(0,3)));
sample.clear();
sample.push_back(image(res));
return true;
}
The src and roi, boundingBox isnt empty or null ; The only empty input is the (vector<mat>) sampleImg, however it looked like an output data..
Anyone tried this method successful ?