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Multiple Human Tracking and Identification With Wireless Distributed Pyroelectric Sensor Systems

delete2009-12-01
delete120
PRE
AI
Q
Qi Hao *
F
Fei Hu
Y
Yang Xiao
DOI:10.1109/JSYST.2009.2035734delete
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摘要

摘要

En 中文
This paper presents a wireless distributed pyroelectric sensor system for tracking and identifying multiple humans based on their body heat radiation. This study aims to make pyroelectric sensors a low-cost alternative to infrared video sensors in thermal gait biometric applications. In this system, the sensor field of view (FOV) is specifically modulated with Fresnel lens arrays for functionality of tracking or identification, and the sensor deployment is chosen to facilitate the process of data-object-association. An Expectation-Maximization-Bayesian tracking scheme is proposed and implemented among slave, master, and host modules of a prototype system. Information fusion schemes are developed to improve the system identification performance for both individuals and multiple subjects. The fusion of thermal gait biometric information measured by multiple nodes is tested at four levels: sample, feature, score, and decision. Experimentally, the prototype system is able to simultaneously track two individuals in both follow-up and crossover scenarios with average tracking errors less than 0.5 m. The experimental results also demonstrate system's potential to be a reliable biometric system for the verification/identification of a small group of human subjects. The developed wireless distributed infrared sensor system can run as a standalone prisoner/patient monitoring system under any illumination conditions, as well as a complement for conventional video and audio human tracking and identification systems.
Keyword:
Multiple human tracking
walker identification
pyroelectric sensor
wireless sensor network

期刊

I
IEEE Open Journal of Circuits and Systems
IF:
2.4
论文数:
4.5K
被引数:
387

机构

University of Alabama System 封面图
University of Alabama System
学者数:
4.2W
论文数: 3.8W
被引数: 68
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