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...