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

被引:0
|
作者
Marcel, Sebastien [1 ]
McCool, Chris [1 ]
Matejka, Pavel
Ahonen, Timo [2 ]
Cernocky, Jan [3 ]
Chakraborty, Shayok [4 ]
Balasubramanian, Vineeth
Panchanathan, Sethuraman
Chan, Chi Ho [5 ]
Kittler, Josef [5 ]
Poh, Norman [5 ]
Fauve, Benoit [6 ]
Glembek, Ondrej
Plchot, Oldrich
Jancik, Zdenek
Larcher, Anthony [7 ]
Levy, Christophe [7 ]
Matrouf, Driss [7 ]
Bonastre, Jean-Francois [7 ]
Lee, Ping-Han [8 ]
Hung, Jui-Yu [8 ]
Wu, Si-Wei [8 ]
Hung, Yi-Ping [8 ]
Machlica, Lukas [9 ]
Mason, John [10 ]
Mau, Sandra [11 ]
Sanderson, Conrad [11 ]
Monzo, David [12 ,13 ]
Albiol, Antonio [12 ,13 ]
Nguyen, Hieu V.
Bai, Li
Wang, Yan
Niskanen, Matti [14 ,15 ]
Turtinen, Markus [14 ,15 ]
Arturo Nolazco-Flores, Juan
Paola Garcia-Perera, Leibny
Aceves-Lopez, Roberto
Villegas, Mauricio [16 ]
Paredes, Roberto [16 ]
机构
[1] Idiap Res Inst, Martigny, Switzerland
[2] Univ Oulu, Oulu, Finland
[3] Brno Univ Technol, CS-61090 Brno, Czech Republic
[4] Arizona State Univ, Ctr Cognitive Ubiquitous Comp, Tempe, AZ 85287 USA
[5] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 5XH, Surrey, England
[6] ValidSoft Ltd, London, England
[7] Univ Avignon, Avignon, France
[8] Natl Taiwan Univ, Taipei, Taiwan
[9] Univ West Bohemia, Bohemia, NY USA
[10] Univ Univ, Swansea SA2 8PP, W Glam, Wales
[11] NICTA, Melbourne, Vic, Australia
[12] Univ Politecn Valencia, iTEAM, E-46022 Valencia, Spain
[13] Univ Nottingham, Nottingham NG7 2RD, England
[14] Visidon Ltd, Oulu, Finland
[15] Techno Monterrey, Mexico City, DF, Mexico
[16] Univ Politecn Valencia, Inst Tecnol Informat, E-46022 Valencia, Spain
基金
澳大利亚研究理事会;
关键词
mobile; biometric; face recognition; speaker recognition; evaluation; RECOGNITION; HISTOGRAMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:210 / +
页数:4
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