Multi-target tracking using proximity sensors

Ting He, Chatschik Bisdikian, Lance Kaplan, Wei Wei, Don Towsley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

We consider the problem of tracking multiple moving targets in a continuous field using proximity sensors, which are binary sensors that can sense target presence by performing local energy detection subject to noise. Compared with more sophisticated sensors, proximity sensors have the advantage of having lower costs and lower energy consumption, but also the disadvantage of being less accurate. In this paper, we propose a hybrid tracking scheme where a coarse-scale tracking is first performed by proximity sensors to narrow down the areas of interest, and then a fine-scale tracking is performed by high-end sensors to estimate the exact target locations, with our focus on the former. In contrast to classic multi-target tracking which assumes 1-1 association between measurements and targets, we show that proximity measurements do not have such association and thus require a different objective. Formulating the coarse-scale tracking as a problem of tracking the histograms of targets in a cell-partitioned field, we develop both an optimal and two approximate solutions via Bayesian Filtering (BF). In particular, one of our approximate solutions decouples the tracking of different targets and thus reduces the dimensionality of BF by relaxing the likelihood function, and the other further reduces the problem into discrete space by quantizing the target mobility model and the relaxed likelihood function. Together with the optimal solution, they provide flexible tradeoffs between accuracy and complexity. Simulations show that the proposed solutions can effectively track targets to the accuracy of a cell and thus reduce uncertainty for the fine-scale tracking.

Original languageEnglish (US)
Title of host publication2010 IEEE Military Communications Conference, MILCOM 2010
Pages1777-1782
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE Military Communications Conference, MILCOM 2010 - San Jose, CA, United States
Duration: Oct 31 2010Nov 3 2010

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Other

Other2010 IEEE Military Communications Conference, MILCOM 2010
CountryUnited States
CitySan Jose, CA
Period10/31/1011/3/10

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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