• DocumentCode
    3597007
  • Title

    Extraction of lip movement image signals from sucessive image frames

  • Author

    Kim, Eung-Kyeu ; Lee, Soo-jong

  • Author_Institution
    Div. of Inf. Commun. & Comput. Eng., Hanbat Nat. Univ., Daejeon
  • Volume
    3
  • fYear
    2009
  • Firstpage
    1974
  • Lastpage
    1978
  • Abstract
    This paper is concerned with the extraction of lip movement image signals from successive image frames. It is suggests the possibility that lip movement image signals can be utilized while detecting the speech block of speech recognition procedures. The image frames are acquired from the PC image camera with the assumption that facial movement is limited during the conversation. First of all, one new lip movement image frame generated with comparing two successive image frames each other. Second, the fine image noises are removed. And residual images are separated into different areas. Each fitness rate is calculated by comparing the lip feature data as objectly separated images. It is analyzed whether or not there is the lip movement image through verification to the objects, three images that their fitness rate is high. As a result of linking the speech & image processing system, the interworking rate of 99.3% was shown even in the various image environments. It was visually confirmed that lip movement image signals are tracked, and its utilization possibility in speech block extraction process.
  • Keywords
    feature extraction; image motion analysis; speech processing; PC image camera; image frames; image noises; image processing system; lip feature data; lip movement image signal extraction; speech block detection; speech block extraction process; speech processing system; speech recognition; Cameras; Image analysis; Image converters; Image generation; Image processing; Joining processes; Signal processing; Speech processing; Speech recognition; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809465