Particle swarm optimization to improve the coverage of a camera network

Yichun Xu; Bangjun Lei

doi:10.1117/12.837700

30 October 2009 Particle swarm optimization to improve the coverage of a camera network

Yichun Xu, Bangjun Lei

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749718 (2009) https://doi.org/10.1117/12.837700
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The field of view of one camera is limited. To monitor a large area, we often need to use multiple cameras together or a camera network. In general, the networks with more cameras can monitor larger area. However, using more cameras often means higher cost. In this paper, we study how to improving the coverage of a camera network by only adjusting the orientations of the cameras, where adding the cameras is not necessary. A particle swarm optimization algorithm was developed to solve this problem. On an experiment the algorithm improved the coverage about 14%. The result is also better than the existing approach.

Citation Download Citation

Yichun Xu and Bangjun Lei "Particle swarm optimization to improve the coverage of a camera network", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749718 (30 October 2009); https://doi.org/10.1117/12.837700

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