先放上Learn Opencv上关于追踪算法的介绍以及C++和python的代码实现
https://www.learnopencv.com/object-tracking-using-opencv-cpp-python/
#include <opencv2/opencv.hpp>
#include <opencv2/tracking.hpp>
#include <opencv2/core/ocl.hpp>
using namespace cv;
using namespace std;
// Convert to string
#define SSTR( x ) static_cast< std::ostringstream & >( \
( std::ostringstream() << std::dec << x ) ).str()
int main(int argc, char **argv)
{
// List of tracker types in OpenCV 3.4.1
string trackerTypes[8] = {"BOOSTING", "MIL", "KCF", "TLD","MEDIANFLOW", "GOTURN", "MOSSE", "CSRT"};
// vector <string> trackerTypes(types, std::end(types));
// Create a tracker
string trackerType = trackerTypes[2];
Ptr<Tracker> tracker;
#if (CV_MINOR_VERSION < 3)
{
tracker = Tracker::create(trackerType);
}
#else
{
if (trackerType == "BOOSTING")
tracker = TrackerBoosting::create();
if (trackerType == "MIL")
tracker = TrackerMIL::create();
if (trackerType == "KCF")
tracker = TrackerKCF::create();
if (trackerType == "TLD")
tracker = TrackerTLD::create();
if (trackerType == "MEDIANFLOW")
tracker = TrackerMedianFlow::create();
if (trackerType == "GOTURN")
tracker = TrackerGOTURN::create();
if (trackerType == "MOSSE")
tracker = TrackerMOSSE::create();
if (trackerType == "CSRT")
tracker = TrackerCSRT::create();
}
#endif
// Read video
VideoCapture video("videos/chaplin.mp4");
// Exit if video is not opened
if(!video.isOpened())
{
cout << "Could not read video file" <<