Reading Images from Video Files with Motion Target Detection
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In this project, we utilize MATLAB to read consecutive images from video files. The implementation involves frame extraction using VideoReader function, followed by motion target detection through computer vision techniques applied in a loop structure. For each processed frame, we employ algorithms such as background subtraction (using foregroundDetector or vision.ForegroundDetector) and optical flow estimation (via opticalFlowHS or opticalFlowLK methods) to identify and track moving objects. The processed images containing detected motion targets are then saved to new files using imwrite function for subsequent analysis. This project leverages MATLAB's Image Processing and Computer Vision Toolboxes, requiring proper initialization of video objects, frame rate adaptation, and optimization of detection parameters to efficiently accomplish motion target detection tasks.
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