Multiple target tracking with RF sensor networks

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Publication Type pre-print
School or College College of Engineering
Department Computing, School of
Creator Venkatasubramanian, Suresh
Other Author Bocca, Maurizio; Kaltiokallio, Ossi; Patwari, Neal
Title Multiple target tracking with RF sensor networks
Date 2014-01-01
Description RF sensor networks are wireless networks that can localize and track people (or targets) without needing them to carry or wear any electronic device. They use the change in the received signal strength (RSS) of the links due to the movements of people to infer their locations. In this paper, we consider real-time multiple target tracking with RF sensor networks. We apply radio tomographic imaging (RTI), which generates images of the change in the propagation field, as if they were frames of a video. Our RTI method uses RSS measurements on multiple frequency channels on each link, combining them with a fade level-based weighted average. We introduce methods, inspired by machine vision and adapted to the peculiarities of RTI, that enable accurate and real-time multiple target tracking. Several tests are performed in an open environment, a one-bedroom apartment, and a cluttered office environment. The results demonstrate that the system is capable of accurately tracking in real-time up to four targets in cluttered indoor environments, even when their trajectories intersect multiple times, without mis-estimating the number of targets found in the monitored area. The highest average tracking error measured in the tests is 0.45 m with two targets, 0.46 m with three targets, and 0.55 m with four targets.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 13
Issue 8
First Page 1787
Last Page 1800
Language eng
Bibliographic Citation Bocca, M., Kaltiokallio, O., Patwari, N., & Venkatasubramanian, S. (2014). Multiple target tracking with RF sensor networks. IEEE Transactions on Mobile Computing, 13(8), 1787-800.
Rights Management (c) 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 1,759,786 bytes
Identifier uspace,18846
ARK ark:/87278/s6hq781t
Setname ir_uspace
Date Created 2014-08-20
Date Modified 2014-08-20
ID 712653
Reference URL https://collections.lib.utah.edu/ark:/87278/s6hq781t
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