Explore MATLAB source code curated for "视频文件" with clean implementations, documentation, and examples.
A comprehensive guide to extracting image frames from video files using MATLAB, with implementation of motion object detection and tracking algorithms including background subtraction, frame differencing, optical flow methods, Kalman filters, and particle filters.
Watermark addition conceptually treats the video file as one "layer" and the custom watermark as another layer, with both layers superimposed to achieve the embedding effect. This process typically involves matrix-based pixel manipulation and alpha blending for transparent overlays.
MATLAB Object Detection and Tracking with related literature, MATLAB source code, and video files. This resource package includes practical implementations featuring algorithms like background subtraction, optical flow, and Kalman filtering for robust object detection and tracking solutions.
A robust motion target detection algorithm that supports multiple video file formats for customized processing, featuring flexible parameter configuration and real-time analysis capabilities.
Reading video files (*.avi) using MATLAB, extracting each frame as individual images, selecting frames of interest, and reconstructing them into a new video file. If reading errors occur, use WinAVI for format conversion.
Implement video file reading and motion target detection in images using MATLAB, featuring loop processing for frame-by-frame analysis with computer vision techniques