Print Email Facebook Twitter Camera Network Coverage Improving by Particle Swarm Optimization Title Camera Network Coverage Improving by Particle Swarm Optimization Author Xu, Y.C. Lei, B. Hendriks, E.A. Faculty Electrical Engineering, Mathematics and Computer Science Department Mediamatics Date 2011-01-01 Abstract This paper studies how to improve the field of view (FOV) coverage of a camera network. We focus on a special but practical scenario where the cameras are randomly scattered in a wide area and each camera may adjust its orientation but cannot move in any direction. We propose a particle swarm optimization (PSO) algorithm which can efficiently find an optimal orientation for each camera. By this optimization the total FOV coverage of the whole camera network is maximized. This new method can also deal with additional constraints, such as a variable region of interest (ROI) and possible occlusions in the ROI. The experiments showed that the proposed method has a much better performance and a wider application scope. It can be effectively applied in the design of any practical camera network. To reference this document use: http://resolver.tudelft.nl/uuid:1abe6329-2239-4f42-ac8b-414292e552fd DOI https://doi.org/10.1155/2011/458283 Publisher Hindawi Publishing Corporation ISSN 1687-5281 Source Eurasip Journal on Image and Video Processing, 2011 (2011), Article ID 458283 Part of collection Institutional Repository Document type journal article Rights (c) 2011 Yi-Chun Xu Files PDF hendriks.pdf 2.03 MB Close viewer /islandora/object/uuid:1abe6329-2239-4f42-ac8b-414292e552fd/datastream/OBJ/view