标题: | Real-time human identification using a pyroelectric infrared detector array and hidden Markov models |
作者: | Fang, Jian-Shuen Hao, Qi Brady, David J. Guenther, Bob D. Hsu, Ken Y. 光电工程学系 Department of Photonics |
公开日期: | 24-七月-2006 |
摘要: | This paper proposes a real-time human identification system using a pyroelectric infrared ( PIR) detector array and hidden Markov models ( HMMs). A PIR detector array with masked Fresnel lens arrays is used to generate digital sequential data that can represent a human motion feature. HMMs are trained to statistically model the motion features of individuals through an expectation-maximization ( EM) learning process. Human subjects are recognized by evaluating a set of new feature data against the trained HMMs using the maximum-likelihood ( ML) criterion. We have developed a prototype system to verify the proposed method. Sensor modules with different numbers of detectors and different sampling masks were tested to maximize the identification capability of the sensor system. (c) 2006 Optical Society of America. |
URI: | http://dx.doi.org/10.1364/OE.14.006643 http://hdl.handle.net/11536/12016 |
ISSN: | 1094-4087 |
DOI: | 10.1364/OE.14.006643 |
期刊: | OPTICS EXPRESS |
Volume: | 14 |
Issue: | 15 |
起始页: | 6643 |
结束页: | 6658 |
显示于类别: | Articles |
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