Object Detection in Videos Using Frame Differencing Method
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Resource Overview
Implementing object detection in videos through frame differencing technique, currently supports image processing only, requires video-to-image sequence conversion
Detailed Documentation
In this implementation, we can utilize the frame differencing method to achieve object detection in videos. The algorithm works by comparing consecutive frames to identify moving objects through pixel intensity changes. Currently, the system only processes individual images, so for video processing, we need to first convert the video into a sequence of image frames. This conversion allows us to perform object detection on each frame sequentially using techniques like absolute difference calculation between frames. The key functions would involve cv2.VideoCapture for video processing, frame extraction, and cv2.absdiff() for computing differences between consecutive frames to detect motion regions.
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