Abstract
Wireless camera networks provide a unique opportunity for collaborative surveillance. Performance evaluation and optimization of camera networks, however, has seldom been addressed. This chapter fills this gap by detailing an approach by which individual cameras and a whole network of cameras can be simultaneously optimized in terms of Pareto-efficiency using multi-objective optimization of performance metrics. Experiments are performed on a set of 37 wireless cameras from a testbed built from the ground up at the University of California at Riverside.
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Acknowledgements
This work was supported in part by NSF grants 0622176, 0551741, 0905671, and ONR grant N00014-07-1-0931.
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Nguyen, H.T., Bhanu, B. (2011). VideoWeb: Optimizing a Wireless Camera Network for Real-time Surveillance. In: Bhanu, B., Ravishankar, C., Roy-Chowdhury, A., Aghajan, H., Terzopoulos, D. (eds) Distributed Video Sensor Networks. Springer, London. https://doi.org/10.1007/978-0-85729-127-1_22
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DOI: https://doi.org/10.1007/978-0-85729-127-1_22
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