A real-time stereo head pose tracking system

Jingying Chen, B. Tiddeman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Head pose tracking is very important in many human machine interfaces. In this paper, a stereo head pose tracking system is proposed, which detects and tracks six facial features (pupils, nostrils and lip corners) automatically when a human face appears in front of two low-cost USB cameras. The epipolar constraint and a 3D facial feature model are used to improve the accuracy and robustness of the system. This system has the advantages of automatically detecting the facial features and recovering the features lost during the tracking process. Encouraging results have been obtained using the proposed system
Original languageUndefined/Unknown
Title of host publicationProceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.
Number of pages6
Publication statusPublished - 1 Dec 2005


  • computer vision
  • face recognition
  • object detection
  • stereo image processing
  • 3D facial feature model
  • epipolar constraint
  • facial feature detection
  • human machine interfaces
  • real-time stereo head pose tracking system
  • Cameras
  • Computer science
  • Face detection
  • Facial features
  • Humans
  • Magnetic heads
  • Real time systems
  • Robustness
  • Skin
  • Universal Serial Bus

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