detection.py

import cv2, time, pandas
from datetime import datetime
first_frame=None                                               
video=cv2.VideoCapture(0)
while True:
    check, frame = video.read()
    status=0
    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    gray=cv2.GaussianBlur(gray,(21,21),0)
    if first_frame is None:
        first_frame=gray
        continue
    delta_frame=cv2.absdiff(first_frame,gray)                                       
    thresh_frame=cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
    thresh_frame=cv2.dilate(thresh_frame, None, iterations=2)
    (_,cnts,_)=cv2.findContours(thresh_frame.copy(),cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    for contour in cnts:
        if cv2.contourArea(contour) < 10000 :
            continue
        (x, y, w, h)=cv2.boundingRect(contour)                                       
        cv2.rectangle(frame, (x, y), (x+w, y+h), (100,100,100), 3)
    cv2.imshow("Streaming",frame)
    key=cv2.waitKey(1)

    if key==ord('q'):
        break
video.release()
cv2.destroyAllWindows