import cv2 import numpy as np cap = cv2.VideoCapture(0) #cap = cv2.VideoCapture('OPENCVmotiondetection.avi') ret, frame1 = cap.read() ret, frame2 = cap.read() while cap.isOpened(): diff = cv2.absdiff(frame1, frame2) gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray, (5,5), 0) _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY) dilated = cv2.dilate(thresh, None, iterations=3) _, contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) for contour in contours: (x, y, w, h) = cv2.boundingRect(contour) if cv2.contourArea(contour) < 500: continue cv2.rectangle(frame1, (x, y), (x+w, y+h), (0, 255, 0), 2) #cv2.drawContours(frame1, contours, -1, (0, 255, 0), 2) cv2.imshow("feed", frame1) frame1 = frame2 ret, frame2 = cap.read() if cv2.waitKey(40) == 27: break cv2.destroyAllWindows() cap.release()