Motion Target Detection Using Motion Regions and Bounding Rectangles
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Resource Overview
Detailed Documentation
This program utilizes motion regions and external bounding rectangles to detect moving targets. The implementation begins with image preprocessing steps to prepare the input frames for accurate motion extraction. The core algorithm employs background subtraction methodology at the pixel level to identify moving regions, typically implemented using techniques like frame differencing or Gaussian Mixture Models (GMM). Following motion detection, the program applies bounding rectangle techniques to enclose detected motion areas and track their movement trajectories. Key functions include morphological operations for noise reduction and contour analysis for precise rectangle fitting. This approach finds extensive applications in surveillance systems and security domains where real-time object tracking is crucial.
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