A comparison of techniques for camera selection and handoff in a video network
Video networks are becoming increasingly important for solving many real-world problems, Multiple video sensors, usually cameras, require collaboration when performing various tasks. One of the most basic tasks is the tracking of objects, which requires mechanisms to select a camera for a certain object and hand-off this object from one camera to another so as to accomplish seamless tracking. In this paper, we provide a comprehensive comparison of current and emerging camera selection and hand-off techniques. We consider geometry, statistics, and game theory-based approaches and provide both theoretial and experimental comparison using centralized and distributed computational models. We provide simulation and experimental results using real data for various scenarios of a large number of cameras and objects for in-depth understanding of strengths and weaknesses of these techniques.