demo06_motion_detection_04.py

import cv2
import datetime

camera = cv2.VideoCapture(0)
background = None
es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 4))

while True:
    grabbed, frame = camera.read()

    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray_frame = cv2.GaussianBlur(gray_frame, (25, 25), 3)

    if background is None:
        background = gray_frame
        continue

    diff = cv2.absdiff(background, gray_frame)
    diff = cv2.threshold(diff, 50, 255, cv2.THRESH_BINARY)[1]
    diff = cv2.dilate(diff, es, iterations=3)

    contours, hierarchy = cv2.findContours(diff.copy(), cv2.RETR_EXTERNAL,
                                           cv2.CHAIN_APPROX_SIMPLE)
    is_detected = False
    for c in contours:
        if cv2.contourArea(c) < 2000:
            continue
        (x, y, w, h) = cv2.boundingRect(c)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        is_detected = True

    cv2.putText(frame, "Motion: Undetected", (10, 20),
                cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
    cv2.putText(frame,
                datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),
                (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX,
                0.35, (0, 255, 0), 1)

    cv2.imshow('video', frame)
    cv2.imshow('diff', diff)

    key = cv2.waitKey(1) & 0xFFf
    if key == ord('q'):
        break

camera.release()
cv2.destroyAllWindows()