A game-theoretic design for collaborative tracking in a video camera network

Abstract

Tracking a moving target of interest at a high resolution with a dynamically designated network camera while ensuring complete-coverage of the area under surveillance of a video camera network can be a challenging task. Game theory can be applied to the situation, treating individual cameras as players and area coverage as utility. Camera collaboration is needed when one camera handoff the job of tracking a moving target of interest to another. By taking into account coverage shared by two cameras as secondary utility and giving precedence to border-covering camera directions, we can improve the performance of collaborative tracking, reducing complete-coverage failures as well as their associated uncovered blocks between handoffs. The cost of camera adjustment involved in a handoff can also be reduced this way.

Multi-Camera Coordination and Control in Surveillance Systems

“…Subsequently, presented a decentralized camera control algorithm for accurate and efficient target acquisition using a game-theoretic approach, which was later evaluated by Tu and Bhattacharya [2011] for different camera configurations. The goal of their system is to track all the targets in the scene and selectively focus on a target at multiple resolutions.…”