An evaluation of video-to-video face verification

  • Authors:

  • Norman Poh;Chi Ho Chan;Josef Kittler;Sébastien Marcel;Christopher Mc Cool;Enrique Argones Rúa;José Luis Alba Castro;Mauricio Villegas;Roberto Paredes;Vitomir Štruc;Nikola Pavešić;Albert Ali Salah;Hui Fang;Nicholas Costen

  • Affiliations:

  • Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, UK;Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, UK;Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, UK;Idiap Research Institute, Martigny, Switzerland;Idiap Research Institute, Martigny, Switzerland;Signal Technologies Group, Signal Theory and Communications Department, University of Vigo, Vigo, Pontevedra, Spain;Signal Technologies Group, Signal Theory and Communications Department, University of Vigo, Vigo, Pontevedra, Spain;Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Valencia, Spain;Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Valencia, Spain;Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia;Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia;University of Amsterdam, Amsterdam, The Netherlands;Computer Science Department, Swansea University, Wales, UK and Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK;Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK

  • Venue:
  • IEEE Transactions on Information Forensics and Security
  • Year:
  • 2010

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Abstract

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.