Wireless sensor network

Engineering

Ecology

Biology

Tracking (education)

Petroleum engineering

Real-time computing

Pedagogy

Telecommunications

Computer science

Tracking system

Sensor fusion

Computer network

Lens (geology)

Psychology

Electronic engineering

Synchronization (alternating current)

Fresnel lens

Artificial intelligence

Kalman filter

Channel (broadcasting)

Wireless

Host (biology)

Computer vision

IEEE Sensors Journal

This paper presents a wireless pyroelectric sensor system, composed of sensing modules (slaves), a synchronization and error rejection module (master), and a data fusion module (host), to perform human tracking. The computation workload distribution among slave, master, and host is investigated. The performances and costs of different signal-processing and target-tracking algorithms are discussed. A prototype system is described containing pyroelectric sensor modules that are able to detect the angular displacement of a moving thermal target. Fresnel lens arrays are used to modulate the sensor field of view. The sensor system has been used to track a single human target

Human Tracking With Wireless Distributed Pyroelectric Sensors