Conference paper

MCCOOL Christopher S., MARCEL Sebastien, MATĚJKA Pavel, ČERNOCKÝ Jan, KITTLER Joseph, LARCHER Anthony, LÉVY Christophe, MATROUF Driss and BONASTRE Jean-Francois et al. Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data. In: 2012 IEEE International Conference on Multimedia and Expo Workshops. Melbourne, Victoria: IEEE Computer Society, 2012, pp. 635-640. ISBN 978-1-4673-2027-6.
Publication language:english
Original title:Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data
Title (cs):Bimodální rozpoznávání osob na mobilním telefonu: použití dat z mobilního telefonu
Pages:635-640
Proceedings:2012 IEEE International Conference on Multimedia and Expo Workshops
Conference:Workshop On Hot Topics In Mobile Multimedia 2012
Place:Melbourne, Victoria, AU
Year:2012
ISBN:978-1-4673-2027-6
Publisher:IEEE Computer Society
URL:http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Bi-Modal+Person+Recognition+on+a+Mobile+Phone%3A+using+mobile+phone+data&x=48&y=12 [PDF]
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2012/mcCool_IEEE_ICME_2012_06266494.pdf [PDF]
Keywords
bi-modal authentication; mobile biometrics; speaker recognition; face recognition
Annotation
This paper is on Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data. Work was done within the MOBIO project.
Abstract
This paper presents a novel fully automatic bi-modal, face and speaker, recognition system which runs in real-time on a mobile phone. The implemented system runs in real-time on a Nokia N900 and demonstrates the feasibility of performing both automatic face and speaker recognition on a mobile phone. We evaluate this recognition system on a novel publicly-available mobile phone database and provide a well defined evaluation protocol. This database was captured almost exclusively using mobile phones and aims to improve research into deploying biometric techniques to mobile devices.We show, on this mobile phone database, that face and speaker recognition can be performed in a mobile environment and using score fusion can improve the performance by more than 25% in terms of error rates.
BibTeX:
@INPROCEEDINGS{
   author = {S. Christopher McCool and Sebastien Marcel and Pavel
	Mat{\v{e}}jka and Jan {\v{C}}ernock{\'{y}} and Joseph
	Kittler and Anthony Larcher and Christophe L{\'{e}}vy and
	Driss Matrouf and Jean-Francois Bonastre},
   title = {Bi-Modal Person Recognition on a Mobile Phone: using mobile
	phone data},
   pages = {635--640},
   booktitle = {2012 IEEE International Conference on Multimedia and Expo
	Workshops},
   year = {2012},
   location = {Melbourne, Victoria, AU},
   publisher = {IEEE Computer Society},
   ISBN = {978-1-4673-2027-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10155}
}

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