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High Accuracy Head Pose Tracking Survey

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Active Media Technology (AMT 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8610))

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Abstract

Head pose estimation is recently a more and more popular area of research. For the last three decades new approaches have constantly been developed, and steadily better accuracy was achieved. Unsurprisingly, a very broad range of methods was explored - statistical, geometrical and tracking-based to name a few. This paper presents a brief summary of the evolution of head pose estimation and a glimpse at the current state-of-the-art in this field.

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Author information

Authors and Affiliations

  1. Warsaw University of Technology, Poland

    Błażej Czupryński & Adam Strupczewski

Authors
  1. Błażej Czupryński
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  2. Adam Strupczewski
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Editor information

Editors and Affiliations

  1. University of Warsaw and Infobright Inc., Poland

    Dominik Ślȩzak

  2. Department of Computer Science, Loughborough University, Loughborough, U.K.

    Gerald Schaefer

  3. Computer Science Department, University of British Columbia, 2366 Main Mall, P.O. Box, Vancouver, B.C., Canada

    Son T. Vuong

  4. Department of Information & Communication Engineering, Inha University, Korea

    Yoo-Sung Kim

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© 2014 Springer International Publishing Switzerland

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Czupryński, B., Strupczewski, A. (2014). High Accuracy Head Pose Tracking Survey. In: Ślȩzak, D., Schaefer, G., Vuong, S.T., Kim, YS. (eds) Active Media Technology. AMT 2014. Lecture Notes in Computer Science, vol 8610. Springer, Cham. https://doi.org/10.1007/978-3-319-09912-5_34

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  • DOI: https://doi.org/10.1007/978-3-319-09912-5_34

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09911-8

  • Online ISBN: 978-3-319-09912-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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