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2008 Bio-inspired, Learning and Intelligent Systems for Security
Biometric-Based Decision Support Assistance in Physical Access Control Systems
August 04-August 06
ISBN: 978-0-7695-3265-3
ASCII Text
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S. Chague, B. Droit, O. Boulanov, S. N. Yanushkevich, V. P. Shmerko, A. Stoica, "Biometric-Based Decision Support Assistance in Physical Access Control Systems," Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on, pp. 11-16, 2008 Bio-inspired, Learning and Intelligent Systems for Security, 2008.
 
 
BibTex
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@article{ 10.1109/BLISS.2008.30,
author = {S. Chague and B. Droit and O. Boulanov and S. N. Yanushkevich and V. P. Shmerko and A. Stoica},
title = {Biometric-Based Decision Support Assistance in Physical Access Control Systems},
journal ={Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3265-3},
pages = {11-16},
doi = {http://doi.ieeecomputersociety.org/10.1109/BLISS.2008.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on
TI - Biometric-Based Decision Support Assistance in Physical Access Control Systems
SN - 978-0-7695-3265-3
SP11
EP16
A1 - S. Chague,
A1 - B. Droit,
A1 - O. Boulanov,
A1 - S. N. Yanushkevich,
A1 - V. P. Shmerko,
A1 - A. Stoica,
PY - 2008
KW - biometrics
KW - decision-making
KW - situational awareness
VL - 0
JA - Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on
ER -
 
This paper aims to contribute to the design of decision support for the physical access security systems. We address the problem of extracting information helpful for early detection of physiological and psycho-emotional data linked to situational awareness. Face images in visible and infrared bands acquired by the system constitute the input of the module for hyper-spectral face analysis and synthesis. The corresponding 3D models, one for video images and one for infrared, are generated by fitting the generic model onto images. The texture maps representing the hemoglobin and melanin content of the facial skin, as well as the temperature distribution, constitutes the output of the face analysis and modeling module. This information is used for evaluating the physiological and psycho-emotional states of a person.
Index Terms:
biometrics, decision-making, situational awareness
Citation:
S. Chague, B. Droit, O. Boulanov, S. N. Yanushkevich, V. P. Shmerko, A. Stoica, "Biometric-Based Decision Support Assistance in Physical Access Control Systems," bliss, pp.11-16, 2008 Bio-inspired, Learning and Intelligent Systems for Security, 2008
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