Computational modeling of foveal target detection.

Full Abstract

This paper presents the VDM2000, a computational model of target detection designed for use in military developmental test and evaluation settings. The model integrates research results from the fields of early vision, object recognition, and psychophysics. The VDM2000 is image based and provides a criterion-independent measure of target conspicuity, referred to as the vehicle metric (VM). A large data set of human responses to photographs of military vehicles in a field setting was used to validate the model. The VM adjusted by a single calibration parameter accounts for approximately 80% of the variance in the validation data. The primary application of this model is to predict detection of military targets in daylight with the unaided eye. The model also has application to target detection prediction using infrared night vision systems. The model has potential as a tool to evaluate the visual properties of more general task settings.

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Author information

Author/s: Witus, Gary (G); Ellis, R Darin (RD);

Affiliation: Turing Associates, Ann Arbor, Michigan, USA.

Journal and publication information

Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.

Journal: Human factors (Hum Factors), published in United States. (Language: eng)

Reference: 2003-; vol 45 (issue 1) : pp 47-60

Dates: Created 2003/08/14; Completed 2003/08/29; Revised 2007/11/15;

PMID: 12916581, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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