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A Robust Method for Head Orientation Estimation Using Histogram of Oriented Gradients

  • Conference paper
Signal Processing, Image Processing and Pattern Recognition (SIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 260))

Abstract

We propose a new robust method to solve problem of estimating human head orientation using Histogram of Oriented Gradients (HOG). The proposed method is able to estimate orientation of the head with a camera even though when a user is not facing the camera. With this method, a head orientation and its rotation can be estimated precisely in all three axes: roll, yaw, pitch.

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Author information

Authors and Affiliations

  1. Ritsumeikan University, Japan

    Dinh Tuan Tran & Joo-Ho Lee

Authors
  1. Dinh Tuan Tran
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  2. Joo-Ho Lee
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. University of Porto, 4099-002, Porto, Portugal

    Carlos Ramos

  4. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Tran, D.T., Lee, JH. (2011). A Robust Method for Head Orientation Estimation Using Histogram of Oriented Gradients. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-27183-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27182-3

  • Online ISBN: 978-3-642-27183-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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