隠れマルコフモデルと動作の階層構造の木表現による日常動作認識

DOI Web Site 被引用文献3件 参考文献15件

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  • Recognition of Human Daily Actions Based on Continuous Hidden Markov Models and Hierarchical Structure of Actions as Tree Representation
  • カクレ マルコフ モデル ト ドウサ ノ カイソウ コウゾウ ノ モク ヒョウゲン ニ ヨル ニチジョウ ドウサ ニンシキ

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This paper presents a recognition method of human daily-life action. The method utilizes hierarchical structure of actions and describes it as tree. We modelize actions by Continuous Hidden Markov Models which output time-series feature vectors extracted based on knowledge of human. In this method, recognition starts from the root, competes the likelihoods of child-nodes, chooses the maximum one as recognition result of the level, and goes to deeper level. The advantages of hierarchical recognition are: (1) recognition of various levels of abstraction, (2) simplification of low-level models, (3) response to novel data by decreasing degree of details. Experimental result shows that the method is able to recognize some basic human actions.

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