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Multi-cue Facial Feature Detection and Tracking

  • Jingying Chen
  • Bernard Tiddeman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

An efficient and robust facial feature detection and tracking system is presented in this paper. The system is capable of locating a human face automatically. Six facial feature points (pupils, nostrils and mouth corners) are detected and tracked using multiple cues including facial feature intensity and its probability distribution, geometric characteristics and motion information. In addition, in order to improve the robustness of the tracking system, a simple facial feature model is employed to estimate the relative face poses. This system has the advantage of automatically detecting the facial features and recovering the features lost during the tracking process. Encouraging results have been obtained using the proposed system.

Keywords

Feature Point Facial Feature Search Window British Machine Vision Facial Feature Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jingying Chen
    • 1
  • Bernard Tiddeman
    • 1
  1. 1.School of Computer ScienceUniversity of St AndrewsFifeScotland, UK

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