Performance of a foveal target-detection system

Douglas C. McKee, Cesar Bandera

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

1 Scopus citations

Abstract

Foveal active vision features imaging sensors and processing with graded acuity, coupled with context-sensitive gaze control. The wide field of view of peripheral vision reduces target search time, but its low acuity makes it susceptible to preliminary false alarms when operating in environments with structured clutter. In this paper, we present a foveal active vision technique for multiresolution cueing that detects regions of interest (ROIs) with coarse resolution and subsequently interrogates with progressively higher resolution and ROIs are disambiguated. A hierarchical foveal machine vision framework with rectilinear retinotopology is used. A two-stage detector uses multiscale shape matching to identify potential targets and a chain of neural networks to filter out false alarms. This context-sensitive, coarse-to- fine approach minimizes the number of computationally expensive high acuity interrogates required, while preserving performance. Results from our experiments using second generation forward looking infrared imagery are presented.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsIvan Kadar
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages170-179
Number of pages10
ISBN (Print)0819424838
StatePublished - 1997
Externally publishedYes
EventSignal Processing, Sensor Fusion, and Target Recognition VI - Orlando, FL, USA
Duration: Apr 21 1997Apr 24 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3068
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition VI
CityOrlando, FL, USA
Period4/21/974/24/97

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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