OpenCV：对视频使用背景差分法并实时显示结果

参考

win10 / VS2013 / OpenCV3

#include
#include

using namespace std;
using namespace cv;

//背景差分法
int main()
{
	VideoCapture capture("dust.mp4");//获取视频

	if (!capture.isOpened())
	{
		return -1;
	}

	double rate = capture.get(CV_CAP_PROP_FPS);//获取视频帧率
	int delay = 500 / rate;

	Mat framepro, frame, dframe;
	Mat gray, bi;

	bool flag = false;

	namedWindow("diff",0);
	namedWindow("gray", 0);
	namedWindow("bi", 0);

	while (capture.read(frame)) 
	{
		if (flag == false)
		{
			framepro = frame.clone(); //第一帧图像
			flag = true;
		}
		else
		{
			absdiff(frame, framepro, dframe); //帧间差分
			//framepro = frame.clone(); //将当前帧拷贝给framepro
			//threshold(dframe, dframe, 90, 255, CV_THRESH_TOZERO); //阈值分割

			// 将差分图像灰度化/二值化
			cvtColor(dframe, gray, CV_BGR2GRAY);
			threshold(gray, bi, 50, 255, CV_THRESH_BINARY);

			//差分结果实时显示窗口
			imshow("diff", dframe);
			imshow("gray", gray);
			imshow("bi", bi);

			waitKey(delay);
		}
	}

	waitKey();

	return 0;
}

// 获取视频的 高/宽/帧率/帧数
	
	int frameH = (int)cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT);
	int frameW = (int)cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH);
	int fps = (int)cvGetCaptureProperty(capture, CV_CAP_PROP_FPS);
	int numFrames = (int)cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_COUNT);