Generating Concise Rules for Human Motion Retrieval

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This paper proposes a method for retrieving human motion data with concise retrieval rules based on the spatio-temporal features of motion appearance. Our method first converts motion clip into a form of clausal language that represents geometrical relations between body parts and their temporal relationship. A retrieval rule is then learned from the set of manually classified examples using inductive logic programming (ILP). ILP automatically discovers the essential rule in the same clausal form with a user-defined hypothesis-testing procedure. All motions are indexed using this clausal language, and the desired clips are retrieved by subsequence matching using the rule. Such rule-based retrieval offers reasonable performance and the rule can be intuitively edited in the same language form. Consequently, our method enables efficient and flexible search from a large dataset with simple query language.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 93(6), 1636-1643, 2010-06-01

    一般社団法人 電子情報通信学会

参考文献:  23件中 1-23件 を表示

被引用文献:  1件中 1-1件 を表示

  • ランダムフォレスト法を用いた動作検索

    浜田 祐一 , 栗山 繁 , 向井 智彦

    電子情報通信学会論文誌. D, 情報・システム = The IEICE transactions on information and systems (Japanese edition) 93(11), 2516-2524, 2010-11-01

    参考文献13件

各種コード

  • NII論文ID(NAID)
    10027988092
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09168532
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
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