Gesture recognition using sparse code of hierarchical SOM

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

25 被引用数 (Scopus)


We propose an approach to recognize time-series gesture patterns with Hierarchical Self-Organizing Map(HSOM). One of the key issue of the time-series pattern recognition is to absorb the time variant appropriately and to make cluters which include the same gesture class. In our approach. we arrange the SOM hierarchically. In each layer ofthe SOM time series patterns divided into some periods; postures, gesture elements and gestures. They are learned in each layer of HSOM. For example, postures are learned in the first layer, gesture elements are learned in the second layer and so on. Using the sparse code in the bottom layer, the SOM can perform time invarient recognition of the gesture elements and gestures.

ホスト出版物のタイトル2008 19th International Conference on Pattern Recognition, ICPR 2008
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータス出版済み - 2008


名前Proceedings - International Conference on Pattern Recognition

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識


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