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
#include
#include
#include
#include
#include
using namespace std ;
using namespace cv ;
...
...
Mat src ; // video frame
Rect boundingBox ; // boundingBox the target Rect
Mat roi = Mat(src ,boundingBox) ;
vector sampleImg ;
Ptr PFSampler = new TrackerSamplerPF( roi, TrackerSamplerPF::Params() ) ;
Ptr 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& sample ){
Ptr ptr;
Mat_ _last_guess=(Mat_(1,4)<<(double)boundingBox.x,(double)boundingBox.y,
(double)boundingBox.x+boundingBox.width,(double)boundingBox.y+boundingBox.height);
PFSolver* promoted_solver=dynamic_cast(static_cast(_solver));
promoted_solver->setParamsSTD(params.std);
promoted_solver->minimize(_last_guess);
dynamic_cast(static_cast(promoted_solver->getFunction()))->update(image);
while(promoted_solver->iteration() <= promoted_solver->getTermCriteria().maxCount);
promoted_solver->getOptParam(_last_guess);
Rect res=Rect(Point_((int)_last_guess(0,0),(int)_last_guess(0,1)),Point_((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) sampleImg, however it looked like an output data..
Does anyone try this method successful ?
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