Journal article

POURSABERI Ahmad, VÁŇA Jan, MRÁČEK Štěpán, DVOŘÁK Radim, YANUSHKEVICH Svetlana, DRAHANSKÝ Martin, SHMERKO Vlad. P. and GAVRILOVA Marina L. Facial biometrics for situational awareness systems. IET Biometrics. Kent: The Institution of Engineering and Technology, 2013, vol. 2, no. 2, pp. 35-47. ISSN 2047-4938. Available from:
Publication language:english
Original title:Facial biometrics for situational awareness systems
Title (cs):Biometrie obličeje v situational awareness systémech
Journal:IET Biometrics, Vol. 2, No. 2, Kent, GB
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.
   author = {Ahmad Poursaberi and Jan V{\'{a}}{\v{n}}a and
	{\v{S}}t{\v{e}}p{\'{a}}n Mr{\'{a}}{\v{c}}ek and Radim
	Dvo{\v{r}}{\'{a}}k and Svetlana Yanushkevich and Martin
	Drahansk{\'{y}} and P. Vlad. Shmerko and L. Marina Gavrilova},
   title = {Facial biometrics for situational awareness systems},
   pages = {35--47},
   journal = {IET Biometrics},
   volume = {2},
   number = {2},
   year = {2013},
   ISSN = {2047-4938},
   doi = {10.1049/iet-bmt.2012.0065},
   language = {english},
   url = {}

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