Publications [#60527] of David J. Brady
- Fang, Jian-Shuen and Hao, Qi and Brady, David J. and Guenther, Bob D. and Hsu, Ken Y., Real-time human identification using a pyroelectric infrared detector array and hidden Markov models,
Optics Express, vol. 14 no. 15
pp. 6643 - 6658 [OE.14.006643]
(last updated on 2007/04/11)
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. © 2006 Optical Society of America.
Piezoelectric devices;Pattern recognition;Infrared detectors;Markov processes;Statistical methods;Motion estimation;