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Human characterization and tracking using pyroelectric sensors

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Abstract

A network of common pyroelectric motion sensors that can track and identify human targets has been developed using low-cost, commercially available components. Significantly cheaper than deploying infrared imaging systems and considerably more advanced than typical motion sensing systems, this system consists of a small number of sensor nodes distributed across a medium sized room. Each node contain up to eight pyroelectric detectors and provides limited computation and communication capabilities. These detectors use structured lenslets to extract frequency components of targets for classification and the location and orientation of the sensors is used to track targets as they move through the space. This system has demonstrated multiple target tracking and the bility to differentiate between multiple people.

© 2005 Optical Society of America

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