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, Eui Jung Sohn, Harpreet Singh, Abdelakrim Elgarhi, 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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