How can I use OpenCV for video change detection?

How can I use OpenCV for video change detection?

You can use OpenCV to detect changes in video by comparing frames. Start by capturing video frames and converting them to grayscale.

What specific functions should I use for frame comparison?

You can use functions like cv2.absdiff() to find the absolute difference between frames and cv2.threshold() to create a binary image.

How do I set a threshold for detecting changes?

You can set a threshold using cv2.threshold() where you define a value that determines what constitutes a significant change.

Can you provide a code snippet for this?

Sure! Here's a simple example:

import cv2

cap = cv2.VideoCapture('video.mp4')
ret, frame1 = cap.read()
ret, frame2 = cap.read()

while ret:
    diff = cv2.absdiff(frame1, frame2)
    gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
    _, thresh = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY)
    cv2.imshow('frame', thresh)
    frame1 = frame2
    ret, frame2 = cap.read()