MATLAB Code Implementation for Object Tracking

This tracking system is implemented using MATLAB as the primary development platform. The code employs sophisticated algorithms capable of effectively tracking various rigid objects, including vehicles, with high precision and computational efficiency. The implementation ensures stable and reliable tracking performance through advanced techniques such as Kalman filtering for motion prediction and correlation-based template matching for target identification. The system maintains robust performance across both laboratory environments and real-world applications, featuring adjustable parameters for trajectory smoothing, search window sizing, and similarity thresholds. Key functions include initializeTracker() for system setup, updatePosition() for real-time tracking, and optimizeParameters() for performance tuning. This flexible implementation supports various tracking scenarios and can be easily adapted to specific requirements through modular code structure, making it a valuable tool for widespread applications in surveillance, autonomous systems, and motion analysis domains.