Publication Details
Facial biometrics for situational awareness systems
Váňa Jan, Ing.
Mráček Štěpán, Ing., Ph.D.
Dvořák Radim, Ing., Ph.D.
Yanushkevich Svetlana
Drahanský Martin, prof. Ing., Ph.D.
Shmerko Vlad. (FIT)
Gavrilova Marina (FIT)
biometric data analysis; biometric data gathering; biometric-based situational awareness systems; biometrics (access control); data analysis; decision making; decision-making; face recognition; facial biometrics; facial expression recognition; human behavioural pattern; infrared bands; multispectral biometrics; physiological parameter estimation; situational awareness systems; visible bands
This study contributes to developing the concept of decision-making support in biometric-based situational awareness systems. Such systems assist users in gathering and analysing biometric data, and support the decision-making on the human behavioural pattern and/or authentication. As an example, the authors consider a facial biometric assistant that functions based on multi-spectral biometrics in visible and infrared bands; it involves facial expression recognition, face recognition in both spectra, as well as estimation of physiological parameters. The authors also investigate usage of facial biometrics for the semantic representation for advanced decision-making.
@article{BUT113037,
author="Ahmad {Poursaberi} and Jan {Váňa} and Štěpán {Mráček} and Radim {Dvořák} and Svetlana {Yanushkevich} and Martin {Drahanský} and Vlad. {Shmerko} and Marina {Gavrilova}",
title="Facial biometrics for situational awareness systems",
journal="IET Biometrics",
year="2013",
volume="2",
number="2",
pages="35--47",
doi="10.1049/iet-bmt.2012.0065",
issn="2047-4938",
url="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6545089"
}