Abstract-Automated distributed sentry systems need only detect suspicious behavior.Microphones and infrared detectors may suffice, as well as being simpler and cheaper than cameras while reducing invasion of privacy. We report on a new approach to analyzing data from acoustic sensors and binary infrared and magnetic sensors towards detecting changes in the velocity vectors of walking people. We show that changes in speed and direction can be detected directly by simple mathematical calculations from even imprecise sensing data. We show methods for detecting both locally and globally suspicious behavior. We present results of experiments supporting our approach, and discuss design of a wireless sensor network for this processing.
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.
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