Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence

Liu, Y.; Hoang, Hung Gia

doi:10.1109/ICCAIS.2014.7020575

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Authors

Liu, Y.

Hoang, Hung Gia

Date

2015

Type

Conference Paper

Metadata

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Citation

Liu, Y. and Hoang, H.G. 2015. Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence, in Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS), Dec 2-5 2014, pp. 93-98. Gwangju, South Korea: Institute of Electrical and Electronics Engineers Inc.

Source Title

2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014

DOI

10.1109/ICCAIS.2014.7020575

ISBN

9781479972043

School

Department of Electrical and Computer Engineering

URI

http://hdl.handle.net/20.500.11937/3194

Collection

Curtin Research Publications

Abstract

In this paper, we present a novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the predicted and updated densities. The proposed approach is attractive in that the multi-target states are modeled as Poisson random finite sets (RFS) that allow the objective function to be calculated in closed form. Simulation results are presented to demonstrate the viability of the proposed approach.