Project Description
Tracking multiple targets using a single camera is an inherently difficult task in large part due to ambiguities associated with image projections. Multiple cameras have the ability to observe targets from different perspectives and hence may alleviate this problem to some extent. This project aims to devise new algorithms and protocols that allow groups of cameras to work together and track multiple targets more robustly and accurately than any single camera in the group would.