ceshi

#include <stdio.h>
#include <iostream>
#include <fstream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/ml/ml.hpp>


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


int main(int argc, char** argv)
{
	std::string videoFile = "3.AVI";
	int c,pause=0;
	cv::VideoCapture capture;
	capture.open(videoFile);
	//CvVideoWriter* writer=cvCreateVideoWriter("3outGMM.avi",CV_FOURCC(‘x‘,‘v‘,‘i‘,‘d‘),25,cvSize(240,320));
	if (!capture.isOpened())
	{
		std::cout<<"read video failure"<<std::endl;
		return -1;
	}



	cv::BackgroundSubtractorMOG2 mog;
	cv::BackgroundSubtractorMOG2 mog1;

	cv::Mat foreground;
	cv::Mat background;
	
	cv::Mat foreground1;
	cv::Mat background1;

	cv::Mat frame;
	long frameNo = 0;
	double t=(double)cvGetTickCount();
	while (capture.read(frame))
	{
		++frameNo;

		std::cout<<frameNo<<std::endl;
		if(frameNo==100||frameNo==680||frameNo==750)
			cout<<"pause"<<endl;
		// 运动前景检测，并更新背景
		mog(frame, foreground, 0.001);  
		mog1(frame,foreground1,0.01);
		cv::imshow("slowundoing",foreground);
		cv::imshow("fastundoing",foreground1);
		// 腐蚀
		cv::erode(foreground, foreground, cv::Mat());

		// 膨胀
		cv::dilate(foreground, foreground, cv::Mat());

		cv::erode(foreground1, foreground1, cv::Mat());

		// 膨胀
		cv::dilate(foreground1, foreground1, cv::Mat());

		mog.getBackgroundImage(background);   // 返回当前背景图像
		mog1.getBackgroundImage(background1);
		
		//cv::imshow("slowvideo", foreground);
		//cv::imshow("slowbackground", background);
		//cv::imshow("fastvideo", foreground1);
		//cv::imshow("fastbackground", background1);
		
		cv::imshow("srcvideo",frame);
		if (cv::waitKey(25) > 0)
		{
			break;
		}
		//cvWriteFrame(writer,background);
	}
	//cvReleaseVideoWriter(&writer);
	t=((double)cvGetTickCount()-t)/(cvGetTickFrequency()*1000);
	cout<<t<<"ms"<<endl;
	system("pause");
	return 0;
}