OpenCV: Frame Difference Method (C + + edition)

#include <opencv2/opencv.hpp> using namespace std;

using namespace CV;
	int main (int argc, char** argv) {videocapture capture ("2.avi");
            if (!capture.isopened ()) {cout<< "No camera or video input!\n" <<endl;
        return-1;
	} Mat frame;
	Mat Gray;
	Mat gray_dilate1;
	Mat Gray_dilate2;
	Mat Gray_dilate3;
	Mat BACKGROUND,FOREGROUND,FOREGROUND_BW;   Mat Mid_filer; Photo//---------------------------------------------------------------------with median filter//Get video width, height, frame rate, total frame number int Frameh = Capture.get (cv_cap_prop_frame_height);  Gets the frame high int framew = Capture.get (cv_cap_prop_frame_width);          Gets the frame width int fps = capture.get (cv_cap_prop_fps);  Gets the frame rate int numframes = Capture.get (Cv_cap_prop_frame_count);
    Gets the entire frame number int num=numframes;  
	printf ("vedio ' \nwidth =%d\t height =%d\n Video ' s fps =%d\t Nums =%d", Framew, Frameh, FPS, numframes); //---------------------------------------------------------------------Mat Frame_0,frame_1;//mat m (3, 5, CV_32FC1, 1);
	   ---------------------------------------------------------------------while (1) {capture>>frame;
	   Imshow ("Frame_resize", frame);
	   Cvtcolor (Frame,gray, Cv_rgb2gray); -----------------------------------------------------------------------------------//Select the previous frame as the background (when you read the first frame,
		   First frame as background) if (num==numframes) {background=gray.clone ();
	   Frame_0=background; 
	   else {background=frame_0; }//------------------------------------------------------------------------------------Absdiff (gray,background
	   , foreground)//////////Imshow ("foreground", foreground) by frame-difference method;

	   
	   Mat element = Getstructuringelement (Morph_rect,size (5,5)); Threshold (foreground, FOREGROUND_BW, 30, 255, 0);//Two The value is usually set to 255//threshold (foreground, FOREGROUND_BW, 0, 255, C V_thresh_binary |  Cv_thresh_otsu);
	   The Dajing method is used to adaptively take the threshold value imshow ("FOREGROUND_BW", FOREGROUND_BW); Medianblur (foreground_bw,mid_filer,3);
	   Median filtering method Imshow ("Mid_filer", Mid_filer);
	   Dilate (mid_filer,gray_dilate1,element);
	   Imshow ("Gray_dilate1", gray_dilate1);
	   Dilate (gray_dilate1,gray_dilate2,element);
	   Imshow ("Gray_dilate2", Gray_dilate2);
	   Dilate (gray_dilate2,gray_dilate3,element);

	   Imshow ("Gray_dilate3", gray_dilate3);
	   Frame_0=gray.clone ();
	   num--;
	   char C = waitkey (33);
	   if (c ==27) break;
	if (num < 1) return-1;
 }
}

The experimental results are as follows: