Conference paper

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. Istanbul: Springer Verlag, 2010, pp. 210-225. ISBN 978-3-642-17710-1. ISSN 0302-9743.
Publication language:english
Original title:On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation
Title (cs):O výsledcích evaluace první mobilní biometrie obličeje a verifikace mluvčího (MOBIO)
Pages:210-225
Proceedings:Recognizing Patterns in Signals, Speech, Images, and Videos
Conference:The 20th International Conference on Pattern Recognition
Series:LNCS, vol. 6388, pp. 210-225. Springer, Heidelberg (2010).
Place:Istanbul, TR
Year:2010
ISBN:978-3-642-17710-1
Journal:Lecture Notes in Computer Science, Vol. 2010, No. 08, DE
ISSN:0302-9743
Publisher:Springer Verlag
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/matejka_ICPR_Turkey_2010.pdf [PDF]
Keywords
mobile, biometric, face recognition, speaker recognition, evaluation
Annotation
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.
Abstract
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.
BibTeX:
@INPROCEEDINGS{
   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},
   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 = {LNCS, vol. 6388, pp. 210-225. Springer, Heidelberg (2010).},
   journal = {Lecture Notes in Computer Science},
   volume = {2010},
   number = {08},
   year = {2010},
   location = {Istanbul, TR},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-17710-1},
   ISSN = {0302-9743},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=9449}
}

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