L22_motion_detection_tracking.py

import cv2, numpy as np

cap = cv2.VideoCapture('./opencv/samples/data/vtest.avi')

ret, frame1 = cap.read()
ret, frame2 = cap.read()


while(cap.isOpened()):
    #ret, frame = cap.read()
    diff = cv2.absdiff(frame1, frame2) # difference between frames
    gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
    blur = cv2.GaussianBlur(gray, (5,5), 0) # bluring
    _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY) # thresholding
    dilated = cv2.dilate(thresh, None, iterations=3) # dilation
    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) < 840:
            continue
        cv2.rectangle(frame1, (x,y), (x+w,y+h), (0,255,0), 2)
        cv2.putText(frame1, "Status: Movement", (10,20), cv2.FONT_HERSHEY_SIMPLEX, .5, (0,255,255), 2)
    #cv2.drawContours(frame1, contours, -1, (0,255,0), 2)

    cv2.imshow('frame', frame1)
    frame1 = frame2
    ret, frame2 = cap.read()

    if cv2.waitKey(40) == 27:
        break

cv2.destroyAllWindows()
cap.release()