The Effect of Size and Position Normalization on HMM-based JSL Recognition

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著者

    • ELGHADI A.
    • 名工大 Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
    • Asai Shingo
    • 名工大 Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
    • Sako Shinji
    • 名工大 Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
    • Kitamura Tadashi
    • 名工大 Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT

抄録

This paper shows a technique of continuous Japanese Sign Language (JSL) recognition based on Hidden Markov models (HMMs). The system aims for an automatic signer independent recognition of JSL sentences. Stereo video camera is utilized for extracting geometric properties of the head and hands trajectory. Size and position normalization is employed in order to account for differences in body-size and proportions. The system was implemented and evaluated using the RWC JSL database consisting of 64 sentences and 4 signers. The recognition results are then compared to the conclusion that normalization indeed increases the recognition rate of the system.

収録刊行物

  • 第7回情報科学技術フォーラム講演論文集, Sep. 2008

    第7回情報科学技術フォーラム講演論文集, Sep. 2008, 549-550, 2008

    FIT(電子情報通信学会・情報処理学会)運営委員会

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各種コード

  • NII論文ID(NAID)
    110007641823
  • NII書誌ID(NCID)
    AA1242354X
  • 本文言語コード
    ENG
  • 資料種別
    会議資料
  • データ提供元
    CJP引用  NII-ELS 
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