Nonlinear filtering models of attentive vision

Douglas Cochran, Ross Martin

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

7 Scopus citations

Abstract

A nonlinear estimation problem motivated by attentive vision in the human visual system is considered. In human vision, eye and head motion are used to bring objects of interest into the high resolution foveal regions of the retina. Accurate estimates of target position are thereby attained in certain target tracking situations using sensors (eyes) having nonuniform and mostly low acuity. This preliminary study considers a target tracking problem involving a sensor having a movable a high acuity 'foveal' region surrounded by a low acuity peripheral region. This example demonstrates how an attentive tracking strategy allows a sensor with a small foveal region to significantly outperform a sensor with uniformly low acuity.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Pages26-29
Number of pages4
VolumeSuppl
StatePublished - 1996
EventProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, USA
Duration: May 12 1996May 15 1996

Other

OtherProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4)
CityAtlanta, GA, USA
Period5/12/965/15/96

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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    Cochran, D., & Martin, R. (1996). Nonlinear filtering models of attentive vision. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. Suppl, pp. 26-29). IEEE.