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Surveillance of a 2D Plane Area with 3D Deployed Cameras
Department of Automation, Tsinghua University, Beijing 100084, China
* Author to whom correspondence should be addressed.
Received: 30 November 2013; in revised form: 16 January 2014 / Accepted: 17 January 2014 / Published: 24 January 2014
Abstract: As the use of camera networks has expanded, camera placement to satisfy some quality assurance parameters (such as a good coverage ratio, an acceptable resolution constraints, an acceptable cost as low as possible, etc.) has become an important problem. The discrete camera deployment problem is NP-hard and many heuristic methods have been proposed to solve it, most of which make very simple assumptions. In this paper, we propose a probability inspired binary Particle Swarm Optimization (PI-BPSO) algorithm to solve a homogeneous camera network placement problem. We model the problem under some more realistic assumptions: (1) deploy the cameras in the 3D space while the surveillance area is restricted to a 2D ground plane; (2) deploy the minimal number of cameras to get a maximum visual coverage under more constraints, such as field of view (FOV) of the cameras and the minimum resolution constraints. We can simultaneously optimize the number and the configuration of the cameras through the introduction of a regulation item in the cost function. The simulation results showed the effectiveness of the proposed PI-BPSO algorithm.
Keywords: camera network placement; coverage; particle swarm optimization (PSO); task constraints; camera constraints; scene constraints
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Cite This Article
MDPI and ACS Style
Fu, Y.-G.; Zhou, J.; Deng, L. Surveillance of a 2D Plane Area with 3D Deployed Cameras. Sensors 2014, 14, 1988-2011.
Fu Y-G, Zhou J, Deng L. Surveillance of a 2D Plane Area with 3D Deployed Cameras. Sensors. 2014; 14(2):1988-2011.
Fu, Yi-Ge; Zhou, Jie; Deng, Lei. 2014. "Surveillance of a 2D Plane Area with 3D Deployed Cameras." Sensors 14, no. 2: 1988-2011.