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11 April 2008Human activity discrimination for maritime application
The US Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) is investigating how
motion affects the target acquisition model (NVThermIP) sensor performance estimates. This paper looks specifically at
estimating sensor performance for the task of discriminating human activities on watercraft, and was sponsored by the
Office of Naval Research (ONR). Traditionally, sensor models were calibrated using still images. While that approach
is sufficient for static targets, video allows one to use motion cues to aid in discerning the type of human activity more
quickly and accurately. This, in turn, will affect estimated sensor performance and these effects are measured in order to
calibrate current target acquisition models for this task. The study employed an eleven alternative forced choice
(11AFC) human perception experiment to measure the task difficulty of discriminating unique human activities on
watercrafts. A mid-wave infrared camera was used to collect video at night. A description of the construction of this
experiment is given, including: the data collection, image processing, perception testing and how contrast was defined
for video. These results are applicable to evaluate sensor field performance for Anti-Terrorism and Force Protection
(AT/FP) tasks for the U.S. Navy.
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Evelyn Boettcher, Dawne M. Deaver, Keith Krapels, "Human activity discrimination for maritime application," Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410G (11 April 2008); https://doi.org/10.1117/12.776291