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Optical Engineering

Predicting search time in visually cluttered scenes using the fuzzy logic approach
Author(s): Thomas J. Meitzler; Eui Jung Sohn; Harpreet Singh; Abdelakrim Elgarhi; Deok Hee Nam
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Paper Abstract

The mean search time of observers searching for targets in visual scenes with clutter is computed using the fuzzy logic approach (FLA). The FLA is presented as a robust method for the computation of search times and/or probabilities of detection for treated vehicles. The Mamdani/Assilian and Sugeno models have been investigated and are compared. The Search_2 dataset from TNO is used to build and validate the fuzzy logic approach for target detection modeling. The input parameters are: local luminance, range, aspect, width, and wavelet edge points, and the single output is search time. The Mamdani/Assilian model gave predicted mean search times for data not used in the training set that had a 0.957 correlation to the field search times. The data set is reduced using a clustering method, then modeled using the FLA, and results are compared to experiment.

Paper Details

Date Published: 1 September 2001
PDF: 8 pages
Opt. Eng. 40(9) doi: 10.1117/1.1389866
Published in: Optical Engineering Volume 40, Issue 9
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive and Armaments Command (United States)
Eui Jung Sohn, U.S. Army Tank-Automotive Command (United States)
Harpreet Singh, Wayne State Univ. (United States)
Abdelakrim Elgarhi, Wayne State Univ. (United States)
Deok Hee Nam, Wayne State Univ. (United States)

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