Resumen:
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[EN] Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible ...[+]
[EN] Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realize facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents an evaluation of person identity verification using facial video data, organized in conjunction with the International Conference on Biometrics (ICB 2009). It involves 18 systems submitted by seven academic institutes. These systems provide for a diverse set of assumptions, including feature representation and preprocessing variations, allowing us to assess the effect of adverse conditions, usage of quality information, query selection, and template construction for video-to-video face authentication.
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Código del Proyecto:
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info:eu-repo/grantAgreement/COST//2101/EU/Biometrics for Identity Documents and Smart cards/
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info:eu-repo/grantAgreement/COST//2101/EU/Biometrics for Identity Documents and Smart cards/
info:eu-repo/grantAgreement/EC/FP7/217762/EU/HOMELAND SECURITY, BIOMETRIC IDENTIFICATION AND PERSONAL DETECTION ETHICS/
info:eu-repo/grantAgreement/EC/FP7/214324/EU/Mobile Biometry/
info:eu-repo/grantAgreement/UKRI//EP%2FD056942%2F1/GB/Cognitive Systems Foresight: Human and computer face recognition from video sequences/
info:eu-repo/grantAgreement/SNSF//PA0022_121477/CH/A Study of Complex Adaptive Multiple Classifier Systems with Application to Multimodal Biometrics/
info:eu-repo/grantAgreement/UKRI//EP%2FD054818%2F1/GB/Cognitive Systems Foresight: Human and computer face recognition from video sequences/
info:eu-repo/grantAgreement/MICINN//TEC2008-05894/ES/ANALISIS Y RECONOCIMIENTO DE EVENTOS AUDIOVISUALES PARA MONITORIZADO DE USUARIOS Y VERIFICACION BIOMETRICA/
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/
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Agradecimientos:
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Manuscript received September 30, 2009; revised August 18, 2010; accepted August 23, 2010. Date of publication September 20, 2010; date of current version November 17, 2010. The work of N. Poh was supported by the Advanced ...[+]
Manuscript received September 30, 2009; revised August 18, 2010; accepted August 23, 2010. Date of publication September 20, 2010; date of current version November 17, 2010. The work of N. Poh was supported by the Advanced Researcher Fellowship PA0022 121477 of the Swiss NSF. The work of N. Poh, C. H. Chan, and J. Kittler was supported by the EU-funded Mobio project grant IST-214324. The work of N. Costen and H. Fang was supported by the EPSRC Grant EP/D056942 and Grant EP/D054818. The work of N. Pavesic and V. Struc was supported by the Slovenian National Research Program P2-0250(C) Metrology and Biometric System, the COST Action 2101 and FP7-217762 HIDE. The work of E. A. Rua was supported by the Spanish Project TEC2008-05894. The work of M. Villegas and R. Paredes was supported by the Spanish MEC/MICINN under the MIPRCV "Consolider Ingenio 2010" program (CSD2007-00018). The work of A. A. Salah was supported by the Dutch BRICKS/BSIK project. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Patrick J. Flynn. N. Poh, C. H. Chan, and J. Kittler are with the Centre for Vision, Speech and Signal Processing (CVSSP), School of Electronics and Physical Sciences, University of Surrey, Guildford, GU2 7XH, Surrey, U. K. (e-mail: n.poh@surrey.ac.uk; normanpoh@ieee.com).
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