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#include <opencv2/core/utility.hpp>
#include <opencv2/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <cstring>
using namespace std;
using namespace cv;
int main( int argc, char** argv ){
// show help
//! [help]
if(argc<2){
cout<<
" Usage: tracker <video_name>\n"
" examples:\n"
" example_tracking_kcf Bolt/img/%04d.jpg\n"
" example_tracking_kcf faceocc2.webm\n"
<< endl;
return 0;
}
//! [help]
// declares all required variables
//! [vars]
Rect2d roi;
Mat frame;
//! [vars]
// create a tracker object
//! [create]
Ptr<Tracker> tracker = Tracker::create( "KCF" );
//! [create]
// set input video
//! [setvideo]
std::string video = argv[1];
VideoCapture cap(video);
//! [setvideo]
// get bounding box
//! [getframe]
cap >> frame;
//! [getframe]
//! [selectroi]
roi=selectROI("tracker",frame);
//! [selectroi]
//quit if ROI was not selected
if(roi.width==0 || roi.height==0)
return 0;
// initialize the tracker
//! [init]
tracker->init(frame,roi);
//! [init]
// perform the tracking process
printf("Start the tracking process, press ESC to quit.\n");
for ( ;; ){
// get frame from the video
cap >> frame;
// stop the program if no more images
if(frame.rows==0 || frame.cols==0)
break;
// update the tracking result
//! [update]
tracker->update(frame,roi);
//! [update]
//! [visualization]
// draw the tracked object
rectangle( frame, roi, Scalar( 255, 0, 0 ), 2, 1 );
// show image with the tracked object
imshow("tracker",frame);
//! [visualization]
//quit on ESC button
if(waitKey(1)==27)break;
}
return 0;
}
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