MovingObjectDetection.py

#Here Everytime, we are comparing The first image with the camera

import cv2
import time
import imutils

cam = cv2.VideoCapture(0)
time.sleep(1)

firstFrame=None
area = 700

while True:
    _,img = cam.read()
    text = "Normal"
    img = imutils.resize(img, width=500)
    grayImg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    gaussianImg = cv2.GaussianBlur(grayImg, (31,31), 0)
    if firstFrame is None:
        firstFrame = gaussianImg
        continue
    imgDiff = cv2.absdiff(firstFrame, gaussianImg)
    threshImg = cv2.threshold(imgDiff, 25, 255, cv2.THRESH_BINARY)[1]
    threshImg = cv2.dilate(threshImg, None, iterations=2)
    cnts = cv2.findContours(threshImg.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    cnts = imutils.grab_contours(cnts)
    for c in cnts:
        if cv2.contourArea(c) < area:
                continue
        (x, y, w, h) = cv2.boundingRect(c)
        cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
        text = "Moving Object Detected"
    print(text)
    cv2.putText(img, text, (10,20), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0,0,255), 2)
    cv2.imshow("CameraFeed",img)
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break
cam.release()
cv2.destroyAllWindows()