Video networks are becoming increasingly important for solving many real-world problems. Multiple video sensors 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 chapter, 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.
CITATION STYLE
Li, Y., & Bhanu, B. (2011). A Comparison of Techniques for Camera Selection and Hand-Off in a Video Network. In Distributed Video Sensor Networks (pp. 69–83). Springer London. https://doi.org/10.1007/978-0-85729-127-1_5
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