opencv(C++)实现视频背景消除建模(BSM)

1.基本原理

 读取当前帧的视频与背景相减，设立阈值进行二值化，提取前景。

2.背景获取

  BS算法

   -图像分割(GMM-高斯混合模型)

    优点：   抑制光线干扰   

   -机器学习 (KNN-k个最近邻)

3.opencv实现

#include
#include 
using namespace cv;
using namespace std;

int main(int argc,char** argv) {
	VideoCapture capture;

	capture.open("E:/C++/test6/video/红外视频/IR.avi");
	//VideoCapture capture(0);
	if (!capture.isOpened()) {
	
		printf("could not load video data...n");
		return -1;
	}
	double  fps = capture.get(CV_CAP_PROP_FPS);
	printf("FPS:%f",fps);
	VideoWriter writer("E:/C++/test6/video/红外视频/visit.avi",-1,15,Size(640,480),true);
	Mat frame,gray,binary;
	Mat bsmaskMOG2;
	namedWindow("video_demo",CV_WINDOW_AUTOSIZE);
	namedWindow("MOG2", CV_WINDOW_AUTOSIZE);
	PtrpMOG2 = createBackgroundSubtractorMOG2();
	while(capture.read(frame)){
		cvtColor(frame, gray, COLOR_BGR2GRAY);
		//threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_OTSU);
		//bitwise_not(frame, frame);
	    //bitwise_(frame);
		imshow("video_demo", gray);
		pMOG2->apply(frame,bsmaskMOG2);
		imshow("MOG2", bsmaskMOG2);
		

		//writer.write(frame);
		char c = waitKey(100);
		if (c == 27) {
			break;
		}
	}
	capture.release();
	waitKey(0);
	return 0;

}

4.实验结果