KSII Transactions on Internet and Information Systems (TIIS)

  • 제12권3호
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  • Pages.1287-1300
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  • 2018
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks

  • Lu, Xu (School of Automatization, Guangdong Polytechnic Normal University) ;
  • Cheng, Lianglun (School of Automatization, Guangdong University of Technology) ;
  • Liu, Jun (School of Automatization, Guangdong Polytechnic Normal University) ;
  • Chen, Rongjun (School of Computer Science, Guangdong Polytechnic Normal University)
  • 투고 : 2017.04.21
  • 심사 : 2017.11.06
  • 발행 : 2018.03.31
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초록

Target-tracking algorithm based on ad hoc camera sensor networks (ACSNs) utilizes the distributed observation capability of nodes to achieve accurate target tracking. A compressed sensing-based multiple-target tracking algorithm (CSMTTA) for ACSNs is proposed in this work based on the study of camera node observation projection model and compressed sensing model. The proposed algorithm includes reconfiguration of observed signals and evaluation of target locations. It reconfigures observed signals by solving the convex optimization of L1-norm least and forecasts node group to evaluate a target location by the motion features of the target. Simulation results show that CSMTTA can recover the subtracted observation information accurately under the condition of sparse sampling to a high target-tracking accuracy and accomplish the distributed tracking task of multiple mobile targets.

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참고문헌

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