Distributed Multiple Human Tracking with Wireless Binary Pyroelectric Infrared (PIR) Sensor Networks

dc.contributor.authorLu, Jiang
dc.date.accessioned2020-07-28T15:39:57Z
dc.date.available2020-07-28T15:39:57Z
dc.date.issued2010
dc.description.abstractThis paper presents a distributed multiple human tracking system based on binary pyroelectric infrared (PIR) sensors. The goal of our research is to make wireless distributed pyroelectric sensors a low-cost, low-data throughput alternative to the expensive infrared video sensors in surveillance applications. With the help of coded Fresnel lens arrays, a binary pyroelectric sensor array can easure the angular displacements of up to two thermal targets. The distributed multiple target tracking scheme is achieved by using (1) joint probabilistic association and (2) consensus filtering. The former can facilitate each sensor node to fuse the measurements and states of nodes within its neighborhood. The latter can guarantee that a consensus will be achieved among those distributed sensor nodes. A prototype wireless pyroelectric sensor network system has been developed to demonstrate the scalability and performance of the proposed distributed multiple human tracking system.en_US
dc.identifier.citationQ. Hao, F. Hu and J. Lu, "Distributed multiple human tracking with wireless binary pyroelectric infrared (PIR) sensor networks," SENSORS, 2010 IEEE, Kona, HI, 2010, pp. 946-950.en_US
dc.identifier.urihttps://hdl.handle.net/10657.1/2423
dc.publisherIEEEen_US
dc.subjectangular measurement; displacement measurement; infrared detectors; lenses; pyroelectric detectors; sensor arrays; target tracking; video surveillance; wireless sensor networks; distributed multiple human tracking; binary pyroelectric infrared sensor; wireless sensor network; infrared video sensor; coded Fresnel lens array; angular displacement; thermal target; distributed multiple target tracking scheme; joint probabilistic association; consensus filtering; distributed sensor node; Target tracking; Joints; Humans; Probabilistic logic; Wireless communication; Wireless sensor networks; Joint probabilistic association; distributed consensus filter; binary pyroelectric sensoren_US
dc.titleDistributed Multiple Human Tracking with Wireless Binary Pyroelectric Infrared (PIR) Sensor Networksen_US
dc.typePresentationen_US

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