Motion Detection and Tracking Source Code Developed by International Researchers

This repository contains MATLAB source code for motion detection and tracking developed by international researchers. The codebase implements robust computer vision algorithms that enable users to detect and track moving objects in video sequences using techniques such as background subtraction, optical flow, or Kalman filtering. Key functions include frame differencing methods for motion detection, blob analysis for object segmentation, and correlation-based tracking algorithms for maintaining object trajectories across frames. These algorithms provide an efficient framework for analyzing motion patterns and understanding behavioral dynamics in video data. The implementation serves as both a practical tool for real-time applications and an educational resource for studying fundamental concepts in computer vision. Developers can modify parameters like detection thresholds, tracking windows, and noise filtering settings to adapt the system to various scenarios. For researchers and engineers, the code demonstrates proper handling of common challenges including illumination changes, occlusions, and multiple object tracking. The modular structure allows easy integration of additional features such as velocity calculation, trajectory prediction, or behavioral classification. Comprehensive comments within the code explain algorithm selection criteria and optimization techniques, making it suitable for both beginners learning motion analysis fundamentals and professionals developing advanced surveillance or activity recognition systems.