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Hi I am working on a video processing project to detect foreground objects and my code to separate foreground and background is as follows :

#include "opencv2/core/core.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv/highgui.h"
#include <stdio.h>
#include <opencv2/imgproc/imgproc.hpp>


using namespace std;
using namespace cv;


//this is a sample for foreground detection functions
int main(int argc, const char** argv)
{


    VideoCapture cap;
    bool update_bg_model = true;

    cap.open(0);


    if( !cap.isOpened() )
    {
        printf("can not open camera or video file\n");
        return -1;
    }

    namedWindow("image", CV_WINDOW_NORMAL);
    namedWindow("foreground mask", CV_WINDOW_NORMAL);
    namedWindow("foreground image", CV_WINDOW_NORMAL);
    namedWindow("mean background image", CV_WINDOW_NORMAL);

    BackgroundSubtractorMOG2 bg_model(500,10,false);
    Mat img, fgmask, fgimg;

    for(;;)
    {
        cap >> img;

        if( img.empty() )
            break;

        if( fgimg.empty() )
          fgimg.create(img.size(), img.type());
        cv::Mat framecopy;


        //update the model
        blur(img,framecopy, Size(10,10), Point(-1,-1) );


        bg_model(framecopy, fgmask, update_bg_model ? -1 : 0);

        fgimg = Scalar::all(0);
        img.copyTo(fgimg, fgmask);

        Mat bgimg;

        bg_model.getBackgroundImage(bgimg);
        /*std::vector< std::vector<cv::Point> > contours;
        findContours(fgmask,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE,Point(0,0));
        std::vector<Rect> boundRect( contours.size() );

        for(int i=0;i<contours.size();i++)
        {
            if(contourArea(contours[i])>20)
            boundRect[i] = boundingRect( Mat(contours[i]) );
            cv::rectangle( img, boundRect[i].tl(), boundRect[i].br(), 255, 2, 8, 0 );
        }*/



        //erode(fgmask,fgmask,cv::Mat(50,50));

        imshow("image", img);
        imshow("foreground mask", fgmask);
        imshow("foreground image", fgimg);
        if(!bgimg.empty())
          imshow("mean background image", bgimg );

        char k = (char)waitKey(30);
        if( k == 27 ) break;
        if( k == ' ' )
        {
            update_bg_model = !update_bg_model;
            if(update_bg_model)
                printf("Background update is on\n");
            else
                printf("Background update is off\n");
        }
    }

    return 0;
}

and the resulting foregroundmask I got is :

t seems my code doesnt cover the whole object completely. Is there anyway I can improve it??

Hi, I am working on video processing project to detect fore ground objects. Below is a part of my code which is used to separate foreground and background.

#include "opencv2/core/core.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>

using namespace std;
using namespace cv;


//this is a sample for foreground detection functions
int main(int argc, const char** argv)
{


    VideoCapture cap;
    bool update_bg_model = true;

    cap.open(0);


    if( !cap.isOpened() )
    {
        printf("can not open camera or video file\n");
        return -1;
    }

    namedWindow("image", CV_WINDOW_NORMAL);
    namedWindow("foreground mask", CV_WINDOW_NORMAL);
    namedWindow("foreground image", CV_WINDOW_NORMAL);
    namedWindow("mean background image", CV_WINDOW_NORMAL);

    BackgroundSubtractorMOG2 bg_model;
    Mat img, fgmask, fgimg;

    for(;;)
    {
        cap >> img;

        if( img.empty() )
            break;

        if( fgimg.empty() )
          fgimg.create(img.size(), img.type());

        //update the model
        bg_model(img, fgmask, update_bg_model ? -1 : 0);

        fgimg = Scalar::all(0);
        img.copyTo(fgimg, fgmask);

        Mat bgimg;
        bg_model.getBackgroundImage(bgimg);

        imshow("image", img);
        imshow("foreground mask", fgmask);
        imshow("foreground image", fgimg);
        if(!bgimg.empty())
          imshow("mean background image", bgimg );

        char k = (char)waitKey(30);
        if( k == 27 ) break;
        if( k == ' ' )
        {
            update_bg_model = !update_bg_model;
            if(update_bg_model)
                printf("Background update is on\n");
            else
                printf("Background update is off\n");
        }
    }

    return 0;
}

In the foreground mask window I am getting lot of noise along with the actual fore ground object. Also the fulll object is note recognized as foreground. I need to bound the fore ground objects with rectangles as well. Wil BoundRect() do the job if I draw contours around in the foreground mask?...Also what are the most recommended parameter to be passed while finding contours(findcontour()) and for the BoundRect function...thanks in advance

If you are working on Project check the project (.pro) file and make sure you have included the libraries

I am working on project that needs to identify humans completely or partially. I tried using various haar cascade Hod cascades etc but these dont really seem to have the expected results with my project. The thing I want to implement is same as in this video : https://www.youtube.com/watch?v=KRKKektCcok

I have a static background and hence the detection of the foreground will be much more easy with that. I need some clues to start with for implementing something as in the above video.