Lightweight biometric detection system for human classification using pyroelectric infrared detectors.

Published

Journal Article

We use pyroelectric detectors that are differential in nature to detect motion in humans by their heat emissions. Coded Fresnel lens arrays create boundaries that help to localize humans in space as well as to classify the nature of their motion. We design and implement a low-cost biometric tracking system by using off-the-shelf components. We demonstrate two classification methods by using data gathered from sensor clusters of dual-element pyroelectric detectors with coded Fresnel lens arrays. We propose two algorithms for person identification, a more generalized spectral clustering method and a more rigorous example that uses principal component regression to perform a blind classification.

Full Text

Duke Authors

Cited Authors

  • Burchett, J; Shankar, M; Hamza, AB; Guenther, BD; Pitsianis, N; Brady, DJ

Published Date

  • May 2006

Published In

Volume / Issue

  • 45 / 13

Start / End Page

  • 3031 - 3037

PubMed ID

  • 16639451

Pubmed Central ID

  • 16639451

Electronic International Standard Serial Number (EISSN)

  • 1539-4522

International Standard Serial Number (ISSN)

  • 1559-128X

Digital Object Identifier (DOI)

  • 10.1364/ao.45.003031

Language

  • eng