具体算法见:http://vision.ucsd.edu/~bbabenko/new/project_miltrack.shtml 优点:表现非常好。它不会像BOOSTING跟踪器那样结果漂移,并且在部分遮挡下可以完成合理的工作。但是相对来多KCF更好,不过MIL低版本的OpenCV也能使用,KCF版本要求更高。 缺点:无法检测是否跟踪失败,速度慢,且无法处理
{ cout<<"Could not read video file"<< endl;return1; }//Read first frame Mat frame; bool ok = video.read(frame);//Define initial boundibg box Rect2d bbox(287, 23, 86, 320);//Uncomment the line below to select a different bounding box bbox = selectROI(frame, false);//Display ...
cv::selectROIs("MultiTracker", frame, bboxes, false); //自己设定对象的检测框 //x,y,width,height //bboxes.push_back(Rect(388, 155, 30, 40)); //bboxes.push_back(Rect(492, 205, 50, 80)); // quit if there are no objects to track 如果没有选择对象 if (bboxes.size()<1) ...
int select_object = 0; int track_object = 0; int show_hist = 1; CvPoint origin; CvRect selection; CvRect track_window; CvBox2D track_box; // tracking 返回的区域 box,带角度 CvConnectedComp track_comp; int hdims = 48; // 划分HIST的个数,越高越精确 float hranges_arr[] = {0,180...
This Python script provides advanced object tracking using OpenCV. It supports multiple tracking algorithms, dynamic object reacquisition, and real-time feature comparison. The system allows users to select objects to track with a mouse, supports named tracking, and includes multiple modes for enhanced...
work. Press Escape to exit selection process" << endl; cout << "\n===\n"; cv::selectROIs("MultiTracker", frame, bboxes, showCrosshair, fromCenter); // quit if there are no objects to track if(bboxes.size() < 1) return 0; vector<Scalar> colors; getRandomColors(colors, bbox...
cout << "\n===\n"; cv::selectROIs("MultiTracker", frame, bboxes, showCrosshair, fromCenter); // quit if there are no objects to track if(bboxes.size() < 1) return 0; vector<Scalar> colors; getRandomColors(colors, bboxes.size());getRandomColors 函数相当简单 // Fill the ...
class of trackers, the first frame is marked using a rectangle to indicate the location of the object we want to track. The object is then tracked in subsequent frames using the tracking algorithm. In most real-life applications, these trackers are used in conjunction with an object detector....
// User draws box around object to track. ThistriggersCAMShift to start trackingstaticvoidonMouse(intevent,intx,inty,int,void*){if(selectObject){selection.x=MIN(x,origin.x);selection.y=MIN(y,origin.y);selection.width=std::abs(x-origin.x);selection.height=std::abs(y-origin.y);...
track(frame); cv2.imshow("track",item.getFrame()) k = cv2.waitKey(1) & 0xff if k == 27: break 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #encoding=utf-8 import json from utils import IOUtil ''' 信息封装类 ''' class MessageItem(object): #用于封装信息的类,包含图片和...