Video networks are becoming increasingly important for solving many real-world problems. Multiple video sensors, usualty cameras, require collaboration when performing various tasks. One of the most basic tasks is the bracking 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 theoretical 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. © 2009 IEEE.
CITATION STYLE
Li, T., & Bhanu, B. (2009). A comparison of techniques for camera selection and handoff in a video network. In 2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009. https://doi.org/10.1109/ICDSC.2009.5289342
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