Vector quantization segmentation for head pose estimation

  • Authors:
  • José Lopes;Sameer Singh

  • Affiliations:
  • Research School of Informatics, Loughborough University, Loughborough, UK;Research School of Informatics, Loughborough University, Loughborough, UK

  • Venue:
  • IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
  • Year:
  • 2006

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Abstract

Head pose estimation is an important area of investigation for understanding human dynamics. Appearance-based methods are one of the popular solutions to this problem. In this paper we present a novel approach using vector quantization that adds spatial information to the feature set. We compare this with raw, Gabor filtered and Wavelet features using the Carnegie Mellon PIE database. Our approach shows increased performance over the other methods.