• DocumentCode
    2772019
  • Title

    Eye tracking and animation for MPEG-4 coding

  • Author

    Bernogger, Stefan ; Yin, Lijun ; Basu, Anup ; Pinz, Axel

  • Author_Institution
    Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Austria
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1281
  • Abstract
    Accurate localization and tracking of facial features are crucial for developing high quality model-based coding (MPEG-4) systems. For teleconferencing applications at very low bit rates, it is necessary to track eye and lip movements accurately over time. These movements can be coded and transmitted to a remote site, where animation techniques can be used to synthesize facial movements on a model of a face. In this paper we describe and simple heuristics which are effective in improving the results of well-known facial feature detection and tracking algorithms. Animation models are also presented, along with experimental results to demonstrate the system being developed. We focus our discussion only on the detection, tracking and modeling of eye movements
  • Keywords
    computer animation; data compression; face recognition; feature extraction; image coding; optical tracking; teleconferencing; MPEG-4; animation; eye movement tracking; facial feature detection; image coding; model-based coding; modeling; teleconferencing; Bit rate; Computer graphics; Computer vision; Electrical capacitance tomography; Face detection; Facial animation; Image coding; Image color analysis; Image motion analysis; MPEG 4 Standard;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711935
  • Filename
    711935