bool pretraining = false;       // do not pre-train on translations of the first frame
bool useFilter  = true;         // Use Kalman filter with optimal parameters
bool useEdgeDensity = true;     // Use Edge density
bool useStraddling = true;      // Use straddling
bool scalePrior = false;
std::string kernel = "int";     // intersection kernel
std::string feature = "hogANDhist";
std::string note = "RobStruck tracker"; // basic tracker

// RobStruck
Struck* tracker = new Struck(pretraining, useFilter,
                       useEdgeDensity, useStraddling,
                       scalePrior,
                       kernel,
                       feature, note);

// ObjStruck
//Struck* tracker = new ObjDetectorStruck(pretraining, useFilter,
//                        useEdgeDensity, useStraddling,
//                        scalePrior,
//                        kernel,
//                        feature, note);

// MBestStruck
//Struck* tracker = new MBestStruck(pretraining, useFilter,
//                            useEdgeDensity, useStraddling,
//                            scalePrior,
//                            kernel,
//                            feature, note);


cv::Rect rect(198, 214, 34, 81);  // initial bounding box

std::string rootFolder ="../sample_data/";


std::string fileName = rootFolder +"0001.jpg";
cv::Mat image = cv::imread(fileName);
tracker->initialize(image, rect);

for (int i = 2; i < 10; i++) {
std::string fileName = rootFolder +"000" +std::to_string(i) +".jpg";
cv::Rect result =tracker->track(fileName);
}