Authors: Li Zhao; Lei Wang
Addresses: School of Computer Science and Engineering, Xi'an University of Technology, No. 5, South Jinhua Road, Xi'an, Shanxi, 710048, China; Department of Information Engineering, Shijiazhuang Vocational Technology Institute, No. 12, Changxing Street, Shijiazhuang, Hebei, 050000, China. ' School of Computer Science and Engineering, Xi'an University of Technology, No. 5, South Jinhua Road, Xi'an, Shanxi, 710048, China
Abstract: Aiming at the multiple cameras cooperating in a surveillance system, a tracking optimisation method based on genetic programming and material character is proposed. Firstly, a physics parameter-orbit, which can be used to describe characters of some material is defined. Secondly, the central line of the orbit and radius is gained by genetic programming. Thirdly, distinguish the pixel belonging to the material with the orbit. In this way, we can coordinate multiple cameras in a surveillance system. Experiment results demonstrate that the algorithm is simple, effective, to solve the problem of multiple camera cooperation in a surveillance system.
Keywords: surveillance; material character; genetic programming; multi-camera coordination; multiple cameras.
International Journal of Computer Applications in Technology, 2012 Vol.43 No.4, pp.351 - 358
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 31 May 2012 *