Multi-Target Tracking in Video Surveillance
Surveillance systems play an increasingly vital role in enhancing personal safety. Our objective is to develop an intelligent real-time monitoring system that improves operational efficiency through automated multi-video processing. Strategically placed overlapping cameras enable inter-camera correlation, allowing the system to automatically detect suspicious activities such as unidentified object appearances. The implementation involves computer vision algorithms for motion capture and trajectory tracking, providing continuous monitoring across multiple camera feeds.