Distributed system for multiple camera tracking

In practical surveillance applications, methods for multiple camera tracking have to deal with many challenges such as noises and errors in estimating system parameters. In this pa per, we propose a distributed multiple camera tracking system that can track multiple persons in real time under challenging conditions such as inaccuracy from calibration, noises from background and lighting changes. The system combines a network of cameras located around the environment, a central process unit and mobile devices. Experimental results show that our system has already performed well in military training.