Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model

  title={Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model},
  author={Meltem Demirkus and Doina Precup and James J. Clark and Tal Arbel},
We present a hierarchical graphical model to probabilistically estimate head pose angles from real-world videos, that leverages the temporal pose information over video frames. The proposed model employs a number of complementary facial features, and performs feature level, probabilistic classifier level and temporal level fusion. Extensive experiments are performed to analyze the pose estimation performance for different combination of features, different levels of the proposed hierarchical… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 14 extracted citations


Publications referenced by this paper.
Showing 1-10 of 44 references


  • R. Gross, I. Matthews, J. Cohn, T. Kanade, S. Baker
  • Image Vision Comput. 28(5), 807–813
  • 2010
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…