Lightweight biometric detection system for human classification using pyroelectric infrared detectors
Applied Optics, Vol. 45, Issue 13, pp. 3031-3037 (2006)
http://dx.doi.org/10.1364/AO.45.003031
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Abstract
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.
© 2006 Optical Society of America
OCIS Codes
(100.5010) Image processing : Pattern recognition
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors
(150.6910) Machine vision : Three-dimensional sensing
(330.5000) Vision, color, and visual optics : Vision - patterns and recognition
ToC Category:
Application
History
Original Manuscript: August 10, 2005
Revised Manuscript: October 26, 2005
Manuscript Accepted: November 19, 2005
Virtual Issues
Vol. 1, Iss. 6 Virtual Journal for Biomedical Optics
Citation
John Burchett, Mohan Shankar, A. Ben Hamza, Bob D. Guenther, Nikos Pitsianis, and David J. Brady, "Lightweight biometric detection system for human classification using pyroelectric infrared detectors," Appl. Opt. 45, 3031-3037 (2006)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-45-13-3031
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