Object Tracking Source Code

This text describes object tracking source code developed in MATLAB. The program consists of a collection of MATLAB functions that implement planar patch tracking using direct gray-level information, commonly known as the Sum of Squared Differences (SSD) algorithm. The implementation effectively tracks object movement by comparing pixel intensity patterns between consecutive frames, maintaining reliable tracking even when objects experience occlusion or illumination changes. The SSD-based approach works by minimizing the difference between template patches and candidate regions in subsequent frames. Through this program, users can gain better understanding of object motion patterns and achieve more accurate tracking results. The core functionality involves calculating similarity measures between image patches, with key functions likely including patch extraction, similarity computation, and motion vector estimation. The modular design allows for functional extensions through additional features. For example, users can implement an interactive interface to monitor tracking results in real-time, or integrate Kalman filtering for improved trajectory prediction. The code structure typically includes initialization routines for setting up tracking parameters, main tracking loops that implement the SSD matching process, and post-processing modules for trajectory analysis. Overall, this represents a practical object tracking solution that helps users thoroughly understand and analyze object motion trajectories through robust computer vision techniques.