MATLAB Video Tracking with Implementation Examples

This package provides a robust MATLAB video tracking implementation that includes corresponding video files for immediate simulation execution. The codebase implements essential computer vision techniques including object detection, motion estimation, and trajectory analysis algorithms. Key functions feature optical flow calculation and Kalman filter-based tracking mechanisms with configurable parameters. Through hands-on simulation and real-time observation, users can deepen their understanding of video processing pipelines and practical MATLAB implementation strategies. The well-commented code structure demonstrates proper handling of video I/O operations, frame processing loops, and visualization techniques. This practical tool serves as an excellent foundation for both learning fundamental concepts and developing real-world applications, providing comprehensive insights into multi-object tracking challenges and optimization approaches. The implementation includes error handling for various video formats and offers modular components for easy customization and extension.