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Efficient simulation for positioning and utilizing of multiple cameras
Affiliation:1. School of Transportation, Southeast University, China;2. Jiangsu Key Laboratory of Urban ITS, China;3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, China;4. Transport Strategy Centre, Imperial College London, UK;1. School of Transportation, Southeast University, China;2. Jiangsu Key Laboratory of Urban ITS, China;3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, China;4. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Abstract:This paper proposes the efficient camera placement method that considers spatial information and gives priorities of spaces in the viewpoint of people moving pattern. To efficiently cover realistic environments, camera performance and installation cost are included in our model. Simulation results show that the proposed placement method not only optimally determines the number of cameras but also coordinates the position and orientation of cameras in a utility-maximized way. Furthermore, this paper can provide a near optimal solution at a very low computational cost based on peak detection and Kullback–Leibler divergence concepts. The proposed method is evaluated and compared in terms of the computational cost and the coverage rate with the greedy approach.
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