Analysis of Head and Facial Gestures Using Facial Landmark Trajectories

  • Hatice Cinar Akakin
  • Bulent Sankur
Conference paper

DOI: 10.1007/978-3-642-04391-8_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5707)
Cite this paper as:
Akakin H.C., Sankur B. (2009) Analysis of Head and Facial Gestures Using Facial Landmark Trajectories. In: Fierrez J., Ortega-Garcia J., Esposito A., Drygajlo A., Faundez-Zanuy M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg

Abstract

Automatic analysis of head and facial gestures is a significant and challenging research area for human-computer interfaces. We propose a robust face-and head gesture analyzer. The analyzer exploits trajectories of facial landmark positions during the course of the head gesture or facial expression. The trajectories themselves are obtained as the output of an accurate feature detector and tracker algorithm, which uses a combination of appearance- and model-based approaches. A multi-pose deformable shape model is trained in order to handle shape variations under varying head rotations and facial expressions. Discriminative observation symbols extracted from the landmark trajectories drive a continuous HMM with mixture of Gaussian outputs and is used to recognize a subset of head gestures and facial expressions. For seven gesture classes we achieve 86.4 % recognition rate.

Keywords

Automatic facial feature tracking head gesture and facial expression recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hatice Cinar Akakin
    • 1
  • Bulent Sankur
    • 1
  1. 1.Electrical and Electronics Engineering DepartmentBogazici UniversityIstanbulTurkey

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