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Distributed target classification and tracking in sensor networks

Brooks, R.R., Ramanathan, P., Sayeed, A.M.·2003·Proceedings of the IEEE

Abstract

The highly distributed infrastructure provided by sensor networks supports fundamentally new ways of designing surveillance systems. In this paper, we discuss sensor networks for target classification and tracking. Our formulation is anchored on location-aware data routing to conserve system resources, such as energy and bandwidth. Distributed classification algorithms exploit signals from multiple nodes in several modalities and rely on prior statistical information about target classes. Associating data to tracks becomes simpler in a distributed environment, at the cost of global consistency. It may be possible to filter clutter from the system by embedding higher level reasoning in the distributed system. Results and insights from a recent field test at 29 Palms Marine Training Center are provided to highlight challenges in sensor networks.

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Metadata

Authors
Brooks, R. R., Ramanathan, P., & Sayeed, A. M.
Venue
Proceedings of the IEEE
Published
2003-08
Volume
91
Issue
8
Pages
1163-1171
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2155068963
Cited by
464
References
1
FWCI
31.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Distributed target classification and tracking in sensor networks. https://app.cochat.ai/papers/10.1109/jproc.2003.814923
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Brooks, R. R., Ramanathan, P., & Sayeed, A. M. (2003). Distributed target classification and tracking in sensor networks. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2003.814923

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