Sensor optimization of camera direction for time-limited search performance

Jennifer Hewitt; Christopher Renshaw; Orges Furxhi; Li Zhang; Ronald Driggers

doi:10.1117/12.2618124

27 May 2022 Sensor optimization of camera direction for time-limited search performance

Jennifer Hewitt, Christopher Renshaw, Orges Furxhi, Li Zhang, Ronald Driggers

Proceedings Volume 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII; 1210604 (2022) https://doi.org/10.1117/12.2618124
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The time-limited search model was developed for military operations for evaluating human search performance as a function of time, originally using static imagery but later expanded to accommodate moving sensor situations. Previously, we introduced an application for using this moving sensor search model to optimize a forward-facing sensor look-down angle for a given forward vehicle speed. In this work, we build on the optimization model to accommodate sensors that may be pointed in any direction, using coordinate transforms. This allows us to determine probability of detection for a given target as a function of a more generalized camera pointing direction. While this methodology may be applied for any target of interest such as road potholes, tanks, or IEDs, here we determine probability of detection of a Burmese python against a grass background.

Conference Presentation

Citation Download Citation

Jennifer Hewitt, Christopher Renshaw, Orges Furxhi, Li Zhang, and Ronald Driggers "Sensor optimization of camera direction for time-limited search performance", Proc. SPIE 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII, 1210604 (27 May 2022); https://doi.org/10.1117/12.2618124

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