Detecting explosive-device emplacement at multiple granularities
Rowe, Neil C.
Reed, Ahren A.
Flores, Jose J.
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We report on experiments with a nonimaging sensor network for detection of suspicious behavior related to pedestrian emplacement of IEDs. Emplacement is the time when detection is the most feasible for IEDs since it almost necessarily must involve some unusual behaviors. Sensors at particularly dangerous locations such as bridges, culverts, road narrowings, and road intersections could provide early warning of such activity. Imaging for surveillance has weaknesses in its susceptibility to occlusion, problems operating at night, sensitivity to angle of view, high processing requirements, and need to invade privacy. Our approach is to use a variety of nonimaging sensors with different modalities to track people. We particularly look for clues as to accelerations since these are often associated with suspicious behavior. Our approach involves preanalyzing terrain for the probability of emplacement of an IED, then combining this with real-time assessment of suspicious behavior obtained from probabilities of location derived from sensor data. We describe some experiments with a prototype sensor network and the promising results obtained.
This paper appeared in the Proceedings of the Military Sensing Society (MSS) National Symposium, Las Vegas, Nevada, U.S., July 2010.
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