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18 May 2012 Validating an analytical technique for calculating detection probability given time-dependent search parameters
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Abstract
The search problem discussed in this paper is easily stated: given search parameters (Ρ, τ) that are known functions of time, calculate how the probability of a single observer to acquire a target grows with time. This problem was solved analytically in a previous paper. To investigate the validity of the solution, videos generated using NVIG software show the view from a vehicle traveling at two different speeds along a flat, straight road. Small, medium and large sized equilateral triangles with the same gray level as the road but without texture were placed at random positions on a textured road and military observers were tasked to find the targets. Analysis of this video in perception experiments yields experimental probability of detection as a function of time. Static perception tests enabled Ρ and τ to be measured as a function of range for the small, medium and large triangles. Since range is a known function of time, Ρ and τ were known as functions of time. This enabled the calculation of modeled detection probabilities which were then compared with measured detection probabilities.
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Melvin H. Friedman, Hee-Sue Choi, Jae Cha, and Joseph P. Reynolds "Validating an analytical technique for calculating detection probability given time-dependent search parameters", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 835511 (18 May 2012); https://doi.org/10.1117/12.921020
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