%Aigaion2 BibTeX export from Idiap Publications %Saturday 21 December 2024 07:05:34 PM @INPROCEEDINGS{McCool_IEEEICMEWORKSHOPONHOTTOPICSINMOBILEMULTIMEDIA_2012, author = {McCool, Chris and Marcel, S{\'{e}}bastien and Hadid, Abdenour and Pietikainen, Matti and Matejka, Pavel and Cernocky, Jan and Poh, Norman and Kittler, J. and Larcher, Anthony and Levy, Christophe and Matrouf, Driss and Bonastre, Jean-Fran{\c c}ois and Tresadern, Phil and Cootes, Timothy}, projects = {Idiap, MOBIO, TABULA RASA}, month = jul, title = {Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data}, booktitle = {IEEE ICME Workshop on Hot Topics in Mobile Multimedia}, year = {2012}, crossref = {McCool_Idiap-RR-13-2012}, 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.}, pdf = {https://publications.idiap.ch/attachments/papers/2012/McCool_IEEEICMEWORKSHOPONHOTTOPICSINMOBILEMULTIMEDIA_2012.pdf} } crossreferenced publications: @TECHREPORT{McCool_Idiap-RR-13-2012, author = {McCool, Chris and Marcel, S{\'{e}}bastien and Hadid, Abdenour and Pietikainen, Matti and Matejka, Pavel and Cernocky, Jan and Poh, Norman and Kittler, J. and Larcher, Anthony and Levy, Christophe and Matrouf, Driss and Bonastre, Jean-Fran{\c c}ois and Tresadern, Phil and Cootes, Timothy}, keywords = {bi-modal authentication, Face Recognition, mobile biometrics, speaker recognition}, projects = {Idiap, MOBIO, TABULA RASA}, month = {4}, title = {Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data}, type = {Idiap-RR}, number = {Idiap-RR-13-2012}, year = {2012}, institution = {Idiap}, 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.}, pdf = {https://publications.idiap.ch/attachments/reports/2012/McCool_Idiap-RR-13-2012.pdf} }