def background_subtract(self, img_src):
fgmask = self.fgbg.apply(cv2.GaussianBlur(img_src, (25, 25), 0))
kernel = np.ones((5, 5), np.uint8)
fgmask = cv2.dilate(fgmask, kernel, iterations=2)
#fgmask = self.fgbg.apply(cv2.medianBlur(img_src, 11))
org_fg = cv2.bitwise_and(img_src, img_src, mask=fgmask)
return org_fg
# Update Position of ROI
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