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Handbook of Remote Biometrics pp 193–216Cite as

Video-Based Face Recognition Algorithms

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Part of the book series: Advances in Pattern Recognition ((ACVPR))

Abstract

Traditional face recognition systems have relied on a gallery of still images for learning and a probe of still images for recognition. While the advantage of using motion information in face videos has been widely recognized, computational models for video-based face recognition have only recently gained attention. This chapter reviews some recent advances in this novel framework. In particular, the utility of videos in enhancing performance of image-based tasks (such as recognition or localization) will be summarized. Subsequently, spatiotemporal video-based face recognition systems based on particle filters, hidden Markov models , and system theoretic approaches will be presented. Further, some useful face databases employable by researchers interested in this field will be described. Finally, some open research issues will be proposed and discussed.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering and Center for Automation Research, UMIACS University of Maryland, College Park, MD 20742, USA

    Rama Chellappa

  2. University of Verona, Verona, Italy

    Manuele Bicego

  3. Department of Electrical and Computer Engineering and Center for Automation Research, UMIACS University of Maryland, College Park, Maryland 20742, USA

    Pavan Turaga

Authors
  1. Rama Chellappa
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  2. Manuele Bicego
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  3. Pavan Turaga
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Corresponding author

Correspondence to Rama Chellappa .

Editor information

Editors and Affiliations

  1. Universitá of Sassari, Dipto. Architettura e Pianificazione, Piazza Duomo, 6, 07041 Alghero SS, Italy

    Massimo Tistarelli (Prof.) (Prof.)

  2. Chinese Academy of Science Institute of Automation, Center Biometrics Research & Security, Room 1227, Zhongguancun 95, 100080 Beijing, China

    Stan Z. Li

  3. University of Maryland, Center for Automation Research, College Park, MD 20742-3275, USA

    Rama Chellappa

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© 2009 Springer-Verlag London Limited

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Chellappa, R., Bicego, M., Turaga, P. (2009). Video-Based Face Recognition Algorithms. In: Tistarelli, M., Li, S.Z., Chellappa, R. (eds) Handbook of Remote Biometrics. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-385-3_8

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  • DOI: https://doi.org/10.1007/978-1-84882-385-3_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-384-6

  • Online ISBN: 978-1-84882-385-3

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