Head Pose Estimation in Seminar Room Using Multi View Face Detectors

  • Zhenqiu Zhang
  • Yuxiao Hu
  • Ming Liu
  • Thomas Huang
Conference paper

DOI: 10.1007/978-3-540-69568-4_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4122)
Cite this paper as:
Zhang Z., Hu Y., Liu M., Huang T. (2007) Head Pose Estimation in Seminar Room Using Multi View Face Detectors. In: Stiefelhagen R., Garofolo J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122. Springer, Berlin, Heidelberg

Abstract

Head pose estimation in low resolution is a challenge problem. Traditional pose estimation algorithms, which assume faces have been well aligned before pose estimation, would face much difficulty in this situation, since face alignment itself does not work well in this low resolution scenario. In this paper, we propose to estimate head pose using view-based multi-view face detectors directly. Naive Bayesian classifier is then applied to fuse the information of head pose from multiple camera views. To model the temporal changing of head pose, Hidden Markov Model is used to obtain the optimal sequence of head pose with greatest likelihood.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Zhenqiu Zhang
    • 1
  • Yuxiao Hu
    • 1
  • Ming Liu
    • 1
  • Thomas Huang
    • 1
  1. 1.Beckman Institute, University of Illinois, Urbana, IL 61801U.S.A

Personalised recommendations