watch.py

import cv2                            # importing Python OpenCV
import imutils

delta_thresh = 5
min_area = 5000
threshold = 81500                     # Threshold for triggering "motion detection"
cam = cv2.VideoCapture(0)             # Lets initialize capture on webcam
avg = None

while True:
    frame = cam.read()[1]
    text = "Not Moving"
    grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    grey = cv2.GaussianBlur(grey, (21, 21), 0)

    # if the average frame is None, initialize it
    if avg is None:
        print("[INFO] starting background model...")
        avg = grey.copy().astype("float")
        continue

    # accumulate the weighted average between the current frame and
    # previous frames, then compute the difference between the current
    # frame and running average
    cv2.accumulateWeighted(grey, avg, 0.5)
    frameDelta = cv2.absdiff(grey, cv2.convertScaleAbs(avg))

    # threshold the delta image, dilate the thresholded image to fill
    # in holes, then find contours on thresholded image
    thresh = cv2.threshold(frameDelta, delta_thresh, 255,
                           cv2.THRESH_BINARY)[1]
    thresh = cv2.dilate(thresh, None, iterations=2)
    cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,
                            cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if imutils.is_cv2() else cnts[1]

    # loop over the contours
    for c in cnts:
        # if the contour is too small, ignore it
        # print cv2.contourArea(c)
        if cv2.contourArea(c) < min_area:
            continue

        # compute the bounding box for the contour, draw it on the frame,
        # and update the text
        (x, y, w, h) = cv2.boundingRect(c)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        text = "Moving"

    cv2.putText(frame, text, (10, 20),
                cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)


    cv2.imshow( "Movement Indicator", frame )		# comment to hide window
    cv2.imshow( 'frameDelta', frameDelta)

    key = cv2.waitKey(10)
    if key == 27:
        cv2.destroyWindow(winName)			# comment to hide window
        break