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Proceedings Paper

Visual search and cued detection performance
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Paper Abstract

Empirical data are presented from a larger-scale, narrow field-of-regard visual search experiment. The target scene characteristics of images taken during the 1995 DISSTAF field observer trials were digitally manipulated to mimic field conditions such as haze and darkness, and vehicle treatments such as camouflage nets and target contrast suppression. The experimental factors induced by the image manipulations all had a significant effect on search performance (hit rate). Data are consistent with psychophysical accounts of visual search. The data were consistent with earlier data from a cued detection task using the same stimulus material. The hit rate in the cued detection experiment explained 85% of the variance in the hit rate form the search experiment. A computational model of human visual discrimination, built to explain cued detection performance, was shown to fit the search data better than would have been expected based on the product independent errors.

Paper Details

Date Published: 18 September 2001
PDF: 9 pages
Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); doi: 10.1117/12.440071
Show Author Affiliations
Gary Witus, Turing Associates, Inc. (United States)
R. Darin Ellis, Wayne State Univ. (United States)

Published in SPIE Proceedings Vol. 4370:
Targets and Backgrounds VII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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