Networks of simple sensors for detecting emplacement of improvised explosive devices
Author
Rowe, Neil C.
Reed, Ahren A.
Schwamm, Riqui
Cho, Jeehee
Flores, Jose J.
Das, Arijit
Date
2012Metadata
Show full item recordAbstract
Detection of improvised explosive devices is difficult and requires a wide spectrum of strategies. Detection during emplacement is the
best hope. Nonimaging sensors provide several advantages over cameras in expense, robustness, and processing simplicity for this
task. We describe experiments with inexpensive commercial sensors, and show how data can be combined to provide monitoring for
suspicious pedestrian behavior at a 1-10 meter scale. Our approach preanalyzes terrain to rate likelihood of emplacement. We install
sensors and monitor the terrain, seeking direct clues to suspicious behavior such as loitering and odd sounds such as excavation. We
also use sensor data to track people by inferring their probability distributions, and use this to detect significant accelerations and
atypical velocity vectors, both of which can indicate suspicious behavior. We describe experiments we have conducted with a
prototype sensor network of eight kinds of sensors, from which it appears that motion and sonar sensors are the most helpful for this
task.
Description
This is Chapter 16 in F. Flammini (Ed.), Critical Infrastructure Protection, WIT Press, 2012, pp. 241-254.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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