Algorithms for tracking with a foveal sensor

Gregory Spell; Douglas Cochran

doi:10.1109/ACSSC.2015.7421409

Algorithms for tracking with a foveal sensor

Gregory Spell, Douglas Cochran

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Society
Pages	1563-1565
Number of pages	3
Volume	2016-February
ISBN (Print)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421409
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

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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, 7421409, IEEE Computer Society, pp. 1563-1565, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421409

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ER -

Algorithms for tracking with a foveal sensor

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