Path-dependent human identification using a pyroelectric infrared sensor and fresnel lens arrays.

Published

Journal Article

This paper presents a design and development of a low power consumption, and low cost, human identification system using a pyroelectric infrared (PIR) sensor whose visibility is modulated by a Fresnel lens array. The optimal element number of the lens array for the identification system was investigated and the experimental results suggest that the lens array with more elements can yield a better performance in terms of identification and false alarm rates. The other parameters of the system configuration such as the height of sensor location and sensor-to-object distance were also studied to improve spectral distinctions among sensory data of human objects. The identification process consists of two parts: training and testing. For the data training, we employed a principal components regression (PCR) method to cluster data with respect to different registered objects at different speed levels. The feature data of different objects walking along the same path in training yet at random speeds are then tested against the pre-trained clusters to decide whether the target is registered, and which member of the registered group it is.

Full Text

Duke Authors

Cited Authors

  • Fang, J-S; Hao, Q; Brady, DJ; Shankar, M; Guenther, BD; Pitsianis, NP; Hsu, KY

Published Date

  • January 2006

Published In

Volume / Issue

  • 14 / 2

Start / End Page

  • 609 - 624

PubMed ID

  • 19503378

Pubmed Central ID

  • 19503378

Electronic International Standard Serial Number (EISSN)

  • 1094-4087

International Standard Serial Number (ISSN)

  • 1094-4087

Digital Object Identifier (DOI)

  • 10.1364/opex.14.000609

Language

  • eng