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Proceedings Paper

Resolvable cycle criteria for identifying personnel based on clothing and armament variations
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Paper Abstract

In the urban environment, it may be necessary to identify personnel based on their type of dress. Observing a police officer or soldier might require a different response than observing an armed civilian. This paper reports on the required number of resolvable cycles to identify different personnel based upon the variations of their clothing and armament. Longwave (LWIR), and midwave infrared (MWIR) images of twelve people at twelve aspects were collected. These images were blurred and 11 human observers performed a 12-alternative forced choice visual identification experiment. The results of the human perception experiments were used to measure the required number of resolvable cycles for identifying these personnel. These results are used in modeling sensor performance tasks and improving war-game simulations oriented to the urban environment.

Paper Details

Date Published: 12 May 2005
PDF: 12 pages
Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.605999
Show Author Affiliations
Steve Moyer, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Nicole Devitt, U.S. Army Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 5784:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Gerald C. Holst, Editor(s)

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