• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks

Vol. 12, No.3, March 31, 2018
10.3837/tiis.2018.03.017, Download Paper (Free):

Abstract

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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Cite this article

[IEEE Style]
Xu Lu, Lianglun Cheng, Jun Liu and Rongjun Chen, "Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 12, no. 3, pp. 1287-1300, 2018. DOI: 10.3837/tiis.2018.03.017

[ACM Style]
Lu, X., Cheng, L., Liu, J., and Chen, R. 2018. Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks. KSII Transactions on Internet and Information Systems, 12, 3, (2018), 1287-1300. DOI: 10.3837/tiis.2018.03.017