└── MovingObjectDetection.py


/MovingObjectDetection.py:
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 1 | import cv2
 2 | 
 3 | def detect_moving_objects():
 4 |     cap = cv2.VideoCapture(0)
 5 | 
 6 |     # Create a background subtractor object
 7 |     bg_subtractor = cv2.createBackgroundSubtractorMOG2()
 8 | 
 9 |     while True:
10 |         ret, frame = cap.read()
11 |         if not ret:
12 |             break
13 | 
14 |         # Apply the background subtractor to get the foreground mask
15 |         fg_mask = bg_subtractor.apply(frame)
16 | 
17 |         # Threshold the foreground mask to get binary image
18 |         _, binary_image = cv2.threshold(fg_mask, 200, 255, cv2.THRESH_BINARY)
19 | 
20 |         # Find contours of moving objects
21 |         contours, _ = cv2.findContours(binary_image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
22 | 
23 |         # Draw rectangles around the moving objects
24 |         for contour in contours:
25 |             if cv2.contourArea(contour) > 500:  # Adjust the minimum area as needed
26 |                 x, y, w, h = cv2.boundingRect(contour)
27 |                 cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
28 | 
29 |         cv2.imshow("Moving Objects", frame)
30 | 
31 |         if cv2.waitKey(30) & 0xFF == 27:  # Press 'Esc' to exit
32 |             break
33 | 
34 |     cap.release()
35 |     cv2.destroyAllWindows()
36 | 
37 | if __name__ == "__main__":
38 |     detect_moving_objects()


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