(六)OpenCV视频分析与对象跟踪_08_扩展模块中的跟踪方法介绍

KCF核相关滤波(阉割版)
BOOSTING(机器学习)、MIL、MEDIANFLOW、TLD

#include <opencv2/opencv.hpp>
#include <iostream>
#include <opencv2/tracking.hpp>//KCF核相关滤波

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
	VideoCapture capture;
	capture.open("../path.avi");
	//capture.open(0);
	if (!capture.isOpened())
	{
		cout << "could not load video..." << endl;
		return -1;
	}
	namedWindow("Video_demo", WINDOW_AUTOSIZE);

	Mat frame;
	capture.read(frame);//读取第一帧 
	Ptr<TrackerKCF> tracker = TrackerKCF::create();//KCF跟踪//一种阉割版跟踪算法
	Rect2d ROI = selectROI("Video_demo", frame);//用鼠标框选ROI
	if (ROI.width == 0 || ROI.height == 0)
	{
		return -2;
	}
	tracker->init(frame, ROI);

	while (capture.read(frame))
	{
		tracker->update(frame, ROI);
		rectangle(frame, ROI, Scalar(255, 0, 255), 2, 8, 0);

		imshow("Video_demo", frame);
		char c = waitKey(100);
		if (c == 27)
		{
			break;
		}
	}

	capture.release();
	waitKey(0);
	return 0;
}

输出结果: