MotionDetect_OpenCV_Python

Reference to 《learning opencv3 computer vision with python》

import cv2
import numpy as np

camera = cv2.VideoCapture(0)
es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9, 4))
kernel = np.ones((5, 5), np.uint8)
background = None


while(True):
    ret, frame = camera.read()
    if background is None:
        background = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        background = cv2.GaussianBlur(background, (21, 21), 0)
        continue
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray_frame = cv2.GaussianBlur(gray_frame, (21, 21), 0)
    diff = cv2.absdiff(background, gray_frame)
    diff = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1]
    diff = cv2.dilate(diff, es, iterations=2)
    image, cnts, hierarchy = cv2.findContours(diff.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    for c in cnts:
        if cv2.contourArea(c) < 1500:
            continue
            (x, y, w, h) = cv2.boundingRect(c)
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
    cv2.imshow("Contours", frame)
    cv2.imshow("Diff ", diff)
    if cv2.waitKey(10) & 0xff == ord("q"):
        break
cv2.destroyAllWindows()
camera.release()