#Background subtraction – OpenCV
"""
BackgroundSubtractorMOG :  It is a Gaussian Mixture-based Background/Foreground Segmentation Algorithm.


BackgroundSubtractorMOG2 :  It is also a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It provides better adaptability to varying scenes due illumination changes etc.


BackgroundSubtractorGMG :  This algorithm combines statistical background image estimation and per-pixel Bayesian segmentation.
"""

import numpy as np
import cv2

fgbg1 = cv2.bgsegm.createBackgroundSubtractorMOG()
fgbg2 = cv2.createBackgroundSubtractorMOG2()
fgbg3 = cv2.bgsegm.createBackgroundSubtractorGMG()


cap = cv2.VideoCapture(0)

while(1):
    ret,img= cap.read()


    fgmask1 = fgbg1.apply(img)
    fgmask2 = fgbg2.apply(img)
    fgmask3 = fgbg3.apply(img)


    cv2.imshow('Orginal',img)
    cv2.imshow('MOG',fgmask1)
    cv2.imshow('MOG2',fgmask2)
    cv2.imshow('GMG',fgmask3)
    k =cv2.waitKey(30) & 0xff
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()