Target tracking and data fusion using multiple adaptive foveal sensors

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

9 Scopus citations

Abstract

In this paper, multiple foveal sensors are used to track a target moving in three dimensions; the target tracker is implemented using particle filters. A foveal sensor's field of view includes a high-sensitivity "foveal" region surrounded by a lower sensitivity region. The location and acuity of the foveal region are actively configured by the tracker using the estimated target position and spread of particles. Two tracker architectures are presented. In the joint resampling architecture, the observations from all sensors are used by a central control module to estimate the state; the central control module configures each sensor. In the individual resampling architecture, each sensor uses its own observations to configure itself and provide angular estimates to a central control module; the central control module estimates the target state using these estimates. The performance of both architectures is compared through Monte Carlo simulation.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Information Fusion, FUSION 2003
PublisherIEEE Computer Society
Pages326-333
Number of pages8
ISBN (Print)0972184449, 9780972184441
DOIs
StatePublished - Jan 1 2003
Event6th International Conference on Information Fusion, FUSION 2003 - Cairns, QLD, Australia
Duration: Jul 8 2003Jul 11 2003

Publication series

NameProceedings of the 6th International Conference on Information Fusion, FUSION 2003
Volume1

Other

Other6th International Conference on Information Fusion, FUSION 2003
CountryAustralia
CityCairns, QLD
Period7/8/037/11/03

Keywords

  • Data fusion
  • Foveal sensor
  • Particle filter

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Xue, Y., & Morrell, D. (2003). Target tracking and data fusion using multiple adaptive foveal sensors. In Proceedings of the 6th International Conference on Information Fusion, FUSION 2003 (pp. 326-333). [1257286] (Proceedings of the 6th International Conference on Information Fusion, FUSION 2003; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICIF.2003.177464