1 September 2001 Predicting search time in visually cluttered scenes using the fuzzy logic approach
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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.
© (2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Thomas J. Meitzler, Thomas J. Meitzler, Eui Jung Sohn, Eui Jung Sohn, Harpreet Singh, Harpreet Singh, Abdelakrim Elgarhi, Abdelakrim Elgarhi, Deok Hee Nam, Deok Hee Nam, } "Predicting search time in visually cluttered scenes using the fuzzy logic approach," Optical Engineering 40(9), (1 September 2001). https://doi.org/10.1117/1.1389866 . Submission:
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