Sensor optimization of camera direction for time-limited search performance

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XXXIII
EditorsGerald C. Holst, David P. Haefner
ISBN (Electronic)9781510650886
StatePublished - 2022
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII 2022 - Virtual, Online
Duration: Jun 6 2022Jun 12 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII 2022
CityVirtual, Online


  • human vision
  • target detection
  • Time-limited search

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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