A language modeling approach to atomic human action recognition

Yu Ming Liang, Sheng Wen Shih, Arthur Chun Chieh Shih, Hong Yuan Mark Liao, Cheng Chung Lin

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

Visual analysis of human behavior has generated considerable interest in the field of computer vision because it has a wide spectrum of potential applications. Atomic human action recognition is an important part of a human behavior analysis system. In this paper, we propose a language modeling framework for this task. The framework is comprised of two modules: a posture labeling module, and an atomic action learning and recognition module. A posture template selection algorithm is developed based on a modified shape context matching technique. The posture templates form a codebook that is used to convert input posture sequences into training symbol sequences or recognition symbol sequences. Finally, a variable-length Markov model technique is applied to learn and recognize the input symbol sequences of atomic actions. Experiments on real data demonstrate the efficacy of the proposed system.
原文英語
主出版物標題2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings
頁面288-291
頁數4
DOIs
出版狀態已發佈 - 2007
事件2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Chania, Crete, 希腊
持續時間: 10月 1 200710月 3 2007

出版系列

名字2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings

會議

會議2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007
國家/地區希腊
城市Chania, Crete
期間10/1/0710/3/07

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 訊號處理

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