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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Camera Network Coverage Improving by Particle Swarm Optimization | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011 Article ID 458283 10 pages doi 10.1155 2011 458283 Research Article Camera Network Coverage Improving by Particle Swarm Optimization Yi-Chun Xu 1 Bangjun Lei 1 and Emile A. Hendriks2 1 Institute of Intelligent Vision and Image Information China Three Gorges University 443002 Yichang China 2 Department of Mediamatics Faculty of Electrical Engineering Mathematics and Computer Science EEMCS Delft University of Technology 2600 GA Delft The Netherlands Correspondence should be addressed to Yi-Chun Xu yichunx@gmail.com Received 30 April 2010 Revised 29 July 2010 Accepted 16 November 2010 Academic Editor Dan Schonfeld Copyright 2011 Yi-Chun Xu et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. 1. Introduction Video cameras are widely applied to inspect and or monitor interesting objects and scenes remotely and automatically 1 2 . Often to cover a large area multiple cameras are connected together to form a camera video network. By acting as .
