Algorithms for tracking with a foveal sensor

Gregory Spell, Douglas Cochran

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

1 Scopus citations

Abstract

A foveal sensor employs a small region of high acuity surrounded by a periphery of lesser acuity. This paper describes an approach for managing such a sensor for tracking a single target. This approach seeks to adaptively position the high-acuity region of the sensor to keep it centered on the target. This scheme is incorporated into a Kalman filter, suitably modified to account for the nonlinearity and spatial agility of the sensor. It is evaluated using simulations in a two-dimensional target tracking scenario.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1563-1565
Number of pages3
Volume2016-February
ISBN (Print)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Spell, G., & Cochran, D. (2016). Algorithms for tracking with a foveal sensor. In Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2016-February, pp. 1563-1565). [7421409] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421409