Distributed human tracking using pyroelectric sensor network

This paper presents a distributed human tracking system based on pyroelectric sensor network and corresponding tracking algorithm. By using the field of view (FOV) of each sensor, two nodes of one detection area can detect the localization of target. In the design of tracking algorithm, a distributed information filter is constructed by using joint probabilistic data association (JPDA) and consensus method. The simulation and experimental results verified the validity of tracking algorithm and improved tracking performance after using the proposed distributed self-calibration.

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