MATLAB Implementation for Dynamic Tracking with USB Camera

I have developed a dynamic tracking program using MATLAB that enables real-time object tracking through USB camera connectivity. The implementation leverages MATLAB's Image Acquisition Toolbox to capture video streams and Computer Vision Toolbox for processing frames. Key algorithmic components include background subtraction using Gaussian Mixture Models (GMM) for motion detection, and blob analysis through regionprops function for object identification and centroid calculation.

This program provides real-time monitoring of target object trajectories and positional data, generating valuable metrics for analytical and research purposes. Users can conveniently perform object tracking with customizable parameters such as detection sensitivity, region of interest (ROI) selection, and tracking persistence through Kalman filtering implementation. The modular code structure allows for easy adaptation and optimization based on specific requirements, including adjustable tracking thresholds and multiple object handling capabilities.

The system enables comprehensive analysis of object motion characteristics, behavioral patterns, and variations under different conditions. Designed to meet dynamic tracking needs in research, engineering, and various technical domains, this implementation facilitates enhanced data analysis and experimental studies through robust MATLAB functions like vision.ForegroundDetector and vision.BlobAnalysis for efficient real-time processing.