运动物体的检测

1，视频输入输出相关教程
https://docs.opencv.org/master/d5/dc4/tutorial_video_input_psnr_ssim.html

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1. #include <stdio.h>
   
2. #include <opencv2\opencv.hpp>
   
3. 
   
4. using namespace std;
   
5. using namespace cv;
   
6. 
   
7. int main()
   
8. {
   
9.     VideoCapture cap(0); //
   
10.     if (cap.isOpened())
    
11.         cout << "camera is opened "<< endl;
    
12.     else
    
13.         cout << "camera is not opende" <<endl;
    
14.     
    
15.     bool stop = false;
    
16.     Mat frame;
    
17. 
    
18.     cap.set(CV_CAP_PROP_FRAME_HEIGHT, 480);
    
19.     cap.set(CV_CAP_PROP_FRAME_WIDTH, 640);
    
20.     cap.set(CV_CAP_PROP_FPS, 30.0);
    
21. 
    
22.     //VideoWriter writer("test0.avi", CV_FOURCC('M', 'J', 'P', 'G'), 30, Size(640,480), true);
    
23.     for(;;)
    
24.     {
    
25.         cap >> frame;
    
26.         imshow("camera0", frame);
    
27. 
    
28.         char c = (char) waitKey(50);
    
29.         if (c == 27) break;
    
30.     }
    
31. 
    
32. /*    Mat grayim(600, 800, CV_8UC1);
    
33.     Mat colorim(600, 800, CV_8UC3);
    
34. 
    
35.     grayim = imread("E:\\会务系统开发\\Module\\opencv_door\\Debug\\ceshi.jpg");    
    
36. 
    
37.     imshow("grayim", grayim);
    
38. 
    
39.     waitKey(0);
    
40.     */
    
41.     return 0;
    
42. }

2， 特征提取。因为我要追踪的物体没有特征，所以需要自己去人为的创造特征。