OpenCV高斯模型

int main(int argc, char** argv)  
{  
    //std::string videoFile = "E:\C_VC_code\Text_Photo\dingdang.avi";  
  
    //cv::VideoCapture capture;  
    //capture.open(videoFile);  
    //VideoCapture capture("E:\C_VC_code\Text_Photo\大屏互动+行人检测_标清.flv");
    VideoCapture capture(0);
    if (!capture.isOpened())  
    {  
        std::cout<<"read video failure"<<std::endl;  
        return -1;  
    }  
  
  
    cv::BackgroundSubtractorMOG2 mog;  
  
    cv::Mat foreground;  
    cv::Mat background;  
  
    cv::Mat frame;  
    Mat frame1;
    long frameNo = 0;  
    double scalar = 0.3;

    while (1)  
    {  

        capture>>frame1;
        resize(frame1,frame,Size(frame1.cols*scalar,frame1.rows*scalar),1,1,3);
  
        // 运动前景检测，并更新背景  
        mog(frame, foreground, 0.2);         
          
        // 腐蚀  
        cv::erode(foreground, foreground, cv::Mat());  
        
        // 膨胀  
        cv::dilate(foreground, foreground, cv::Mat());  
  
        mog.getBackgroundImage(background);   // 返回当前背景图像  
        
        threshold(foreground,foreground,40,250,CV_THRESH_BINARY_INV);
        cv::imshow("foreground", foreground);  
        cv::imshow("background", background); 
  
        if (cv::waitKey(40) > 0)  
        {  
            break;  
        }  
    }  
     
    return 0;  
}  

 opencv-3.0.0版本的变化：

int main(int argc, char *argv[]) {
    cv::Mat frame;
    cv::Mat back;
    cv::Mat fore;
    cv::VideoCapture cap(0);
    cv::Ptr<BackgroundSubtractorMOG2> bg = createBackgroundSubtractorMOG2();

    bg->setNMixtures(30);
    //bg.bShadowDetection = false;
    std::vector<std::vector<cv::Point> > contours;

    cv::namedWindow("Frame");
    cv::namedWindow("Background");

    for (;;) {
        cap >> frame;
        //bg.operator()(frame, fore);
        bg->apply(frame, fore,0.01);
        bg->getBackgroundImage(back);
        cv::erode(fore, fore, cv::Mat());
        cv::dilate(fore, fore, cv::Mat());
        cv::findContours(fore, contours, CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);
        cv::drawContours(frame, contours, -1, cv::Scalar(0, 0, 255), 2);
        threshold(fore, fore, 80, 250, CV_THRESH_BINARY_INV);
        cv::imshow("Foreground", fore);
        cv::imshow("Frame", frame);
        cv::imshow("Background", back);
        if (cv::waitKey(30) >= 0)
            break;
    }
    return 0;
}