Publication Details

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation

MARCEL Sebastien, MCCOOL Christopher S., MATĚJKA Pavel, ČERNOCKÝ Jan, KITTLER Joseph, GLEMBEK Ondřej, PLCHOT Oldřich, JANČÍK Zdeněk, LARCHER Anthony and LÉVY Christophe et al. On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. In: Recognizing Patterns in Signals, Speech, Images, and Videos. Lecture Notes in Computer Science, vol. 6388. Istanbul: Springer Verlag, 2010, pp. 210-225. ISBN 978-3-642-17710-1. ISSN 0302-9743.
Czech title
O výsledcích evaluace první mobilní biometrie obličeje a verifikace mluvčího (MOBIO)
Type
conference paper
Language
english
Authors
Marcel Sebastien (IDIAP)
McCool Christopher S. (IDIAP)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
Kittler Joseph, prof. (USG)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Jančík Zdeněk, Ing. (DCGM FIT BUT)
Larcher Anthony, Dr. (LMNU)
and others
URL
Keywords

mobile, biometric, face recognition, speaker recognition, evaluation

Abstract

This paper presents the results of several uni-modal face and speaker verification techniques on the MOBIO database. This database provides realistic and challenging conditions as it was captured on a mobile device and in uncontrolled environments.

Annotation

This paper evaluates the performance of face and speaker verification techniques in the context of a mobile environment. The mobile environment was chosen as it provides a realistic and challenging test-bed for biometric person verification techniques to operate. For instance the audio environment is quite noisy and there is limited control over the illumination conditions and the pose of the subject for the video. To conduct this evaluation, a part of a database captured during the "Mobile Biometry" (MOBIO) European Project was used. In total there were nine participants to the evaluation who submitted a face verification system and five participants who submitted speaker verification systems. The results have shown that the best performing face and speaker verification systems obtained the same level of performance, respectively 10.9% and 10.6% of HTER.

Published
2010
Pages
210-225
Journal
Lecture Notes in Computer Science, vol. 6388, no. 8, ISSN 0302-9743
Proceedings
Recognizing Patterns in Signals, Speech, Images, and Videos
Series
Lecture Notes in Computer Science
Conference
The 20th International Conference on Pattern Recognition, Instanbul, TR
ISBN
978-3-642-17710-1
Publisher
Springer Verlag
Place
Istanbul, TR
DOI
10.1007/978-3-642-17711-8_22
EID Scopus
2-s2.0-78650827060
BibTeX 
@INPROCEEDINGS{FITPUB9449,
   author = "Sebastien Marcel and S. Christopher McCool and Pavel Mat\v{e}jka and Jan \v{C}ernock\'{y} and Joseph Kittler and Ond\v{r}ej Glembek and Old\v{r}ich Plchot and Zden\v{e}k Jan\v{c}\'{i}k and Anthony Larcher and Christophe L\'{e}vy and et al.",
   title = "On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation",
   pages = "210--225",
   booktitle = "Recognizing Patterns in Signals, Speech, Images, and Videos",
   series = "Lecture Notes in Computer Science",
   journal = "Lecture Notes in Computer Science",
   volume = 6388,
   number = 08,
   year = 2010,
   location = "Istanbul, TR",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-17710-1",
   ISSN = "0302-9743",
   doi = "10.1007/978-3-642-17711-8\_22",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9449"
}
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