The Background subtraction technique

The Background subtraction technique consists of obtaining the important objects over a background.

Now, let's see the methods available in OpenCV for the Background subtraction technique. Currently, the following four important techniques are required for this task:

• MOG (Mixture-of-Gaussian)

• MOG2

• GMG (Geometric MultiGrip)

• KNN (K-Nearest Neighbors)

Next, we are going to see an example (backgroundSubKNN) using the KNN technique:

#include<opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int backGroundSubKNN()
{
    //1-Set the parameters and initializations
    Mat frame;
    Mat background;
    Mat foreground;
    bool finish = false;
    int history = 500;
    double dist2Threshold = 400.0;
    bool detectShadows = false;
    vector< vector<Point>> contours;
    namedWindow("Frame");
    namedWindow("Background");
    VideoCapture capture(0);

    //Check if the video camera is opened
    if(!capture.isOpened()) return 1...