Adaptive foveal sensor for target tracking

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

We present a target tracker based on an adaptive foveal sensor; the tracker is implemented using particle filters. A foveal sensor’s field of view includes a highsensitivity “foveal" region surrounded by a lower sensitivity region. The location and acuity of the foveal region are adaptively adjusted, using the estimated target position and spread of particles. A Gaussian resampling method reduces the adverse effects of occasional large observation errors. Monte Carlo simulations show that this foveal sensor with adaptive acuity always outperforms a fixed acuity sensor; also, the particle filter (with a sufficient number of particles) outperforms previous Kalman filter-based implementations of the non-adaptive foveal sensor.

Original languageEnglish (US)
Pages (from-to)848-852
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
DOIs
StatePublished - Jan 1 2002
Externally publishedYes

Keywords

  • Adaptive filter
  • Foveal sensor
  • Particle filter
  • Sampling importance resampling

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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