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import cv2, time

first_frame = None

video = cv2.VideoCapture(0)

while True: check, frame = video.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray,(21,21),0) 

if first_frame is None:
    first_frame = gray 

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)[0]

for contour in cnts:
    if cv2.contourArea(contour) < 1000: 
        continue
    (x, y, w, h) = cv2.boundingRect(contour)
    cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 3)

cv2.imshow("Gray Frame", gray)
cv2.imshow("Delta Frame", delta_frame)
cv2.imshow("Threshold Frame", thresh_frame)
cv2.imshow("Color Frame", frame)

key = cv2.waitKey(1)
print(gray)
print(delta_frame)

if key == ord('q'):
    break

video.release() cv2.destroyAllWindows

Code: import cv2, time

first_frame = None

video = cv2.VideoCapture(0)

while True: check, frame = video.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray,(21,21),0) 

if first_frame is None:
    first_frame = gray 

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)[0]

for contour in cnts:
    if cv2.contourArea(contour) < 1000: 
        continue
    (x, y, w, h) = cv2.boundingRect(contour)
    cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 3)

cv2.imshow("Gray Frame", gray)
cv2.imshow("Delta Frame", delta_frame)
cv2.imshow("Threshold Frame", thresh_frame)
cv2.imshow("Color Frame", frame)

key = cv2.waitKey(1)
print(gray)
print(delta_frame)

if key == ord('q'):
    break

video.release() cv2.destroyAllWindows

Code: Code:

import cv2, time
 
time

first_frame = None
 
None

video = cv2.VideoCapture(0)
 
cv2.VideoCapture(0)

while True:
    check, frame = video.read()
 
video.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 gray = cv2.GaussianBlur(gray,(21,21),0) 

 if first_frame is None:
     first_frame = gray 

 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)[0]

 for contour in cnts:
     if cv2.contourArea(contour) < 1000: 
         continue
     (x, y, w, h) = cv2.boundingRect(contour)
     cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 3)

 cv2.imshow("Gray Frame", gray)
 cv2.imshow("Delta Frame", delta_frame)
 cv2.imshow("Threshold Frame", thresh_frame)
 cv2.imshow("Color Frame", frame)

 key = cv2.waitKey(1)
 print(gray)
 print(delta_frame)

 if key == ord('q'):
     break

video.release()
cv2.destroyAllWindows()
  
video.release()
cv2.destroyAllWindows