opencv目标追踪c++

以下是使用Tracker实现简单目标跟踪的C++代码示例：

#include <opencv2/opencv.hpp>
#include <opencv2/tracking.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char **argv)
{
    // 读取视频文件
    VideoCapture cap("test.mp4");

    // 检查视频是否成功打开
    if (!cap.isOpened())
    {
        cout << "Error opening video file" << endl;
        return -1;
    }

    // 选择跟踪算法
    string trackerType = "KCF";
    Ptr<Tracker> tracker;

    if (trackerType == "KCF")
        tracker = TrackerKCF::create();
    else if (trackerType == "MIL")
        tracker = TrackerMIL::create();
    else if (trackerType == "BOOSTING")
        tracker = TrackerBoosting::create();
    else if (trackerType == "TLD")
        tracker = TrackerTLD::create();
    else if (trackerType == "MEDIANFLOW")
        tracker = TrackerMedianFlow::create();
    else if (trackerType == "GOTURN")
        tracker = TrackerGOTURN::create();
    else
    {
        cout << "Invalid tracker type" << endl;
        return -1;
    }

    // 选择跟踪目标
    Rect2d bbox(287, 23, 86, 320);

    // 读取第一帧图像
    Mat frame;
    cap >> frame;

    // 初始化跟踪器
    tracker->init(frame, bbox);

    // 跟踪目标
    while (cap.read(frame))
    {
        // 更新跟踪器
        bool ok = tracker->update(frame, bbox);

        // 绘制跟踪框
        if (ok)
            rectangle(frame, bbox, Scalar(0, 255, 0), 2, 1);
        else
            putText(frame, "Tracking failure detected", Point(100, 80), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(0, 0, 255), 2);

        // 显示图像
        imshow("Tracking", frame);

        // 按下ESC键退出
        if (waitKey(1) == 27)
            break;
    }

    return 0;
}