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();
    if (!capture.isOpened())
    {
        std::cout<<"read video failure"<<std::endl;
        return -;
    }  

    cv::BackgroundSubtractorMOG2 mog;  

    cv::Mat foreground;
    cv::Mat background;  

    cv::Mat frame;
    Mat frame1;
    long frameNo = ;
    double scalar = 0.3;

    while ()
    {  

        capture>>frame1;
        resize(frame1,frame,Size(frame1.cols*scalar,frame1.rows*scalar),,,);

        // 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,,,CV_THRESH_BINARY_INV);
        cv::imshow("foreground", foreground);
        cv::imshow("background", background); 

        if (cv::waitKey() > )
        {
            break;
        }
    }  

    return ;
}  

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();
    cv::Ptr<BackgroundSubtractorMOG2> bg = createBackgroundSubtractorMOG2();

    bg->setNMixtures();
    //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, -, cv::Scalar(, , ), );
        threshold(fore, fore, , , CV_THRESH_BINARY_INV);
        cv::imshow("Foreground", fore);
        cv::imshow("Frame", frame);
        cv::imshow("Background", back);
        if (cv::waitKey() >= )
            break;
    }
    return ;
}