MATLAB Source Code for Face Recognition and Tracking

This MATLAB source code provides an exceptional implementation for face recognition and tracking systems. The program employs sophisticated computer vision algorithms to accurately detect human faces and maintain continuous tracking of facial movements. Key technical features include Viola-Jones algorithm for face detection, optical flow methods for motion tracking, and machine learning techniques for recognition accuracy. The modular code structure allows for easy integration into various applications such as security surveillance systems, biometric authentication platforms, and human-computer interaction interfaces. With optimized image processing functions and efficient memory management, this implementation significantly enhances recognition accuracy and tracking performance while maintaining real-time processing capabilities. The source code includes comprehensive documentation detailing parameter configuration, algorithm customization, and performance optimization techniques.