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

Steve Moyer; Nicole Devitt

doi:10.1117/12.605999

12 May 2005 Resolvable cycle criteria for identifying personnel based on clothing and armament variations

Steve Moyer, Nicole Devitt

Proceedings Volume 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI; (2005) https://doi.org/10.1117/12.605999
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Steve Moyer and Nicole Devitt "Resolvable cycle criteria for identifying personnel based on clothing and armament variations", Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); https://doi.org/10.1117/12.605999

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