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| Human Activity Recognition Based on High-level Semantic Codebook |
| Huang Shaonian1，Shi You2 |
| 1.Hunan University of Commerce 2.Hunan Norma University |
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Abstract Human activity recognition is the important basis of video surveillance system. In this paper, a new activity recognition
method is proposed based on the high-level codebook. We construct a code-word graph based on the mutual information of lowlevel
code-words, and then partition the graph into different groups, which discover the high-level code-words patterns. Experimental
result shows that the proposed method can effective recognize human activities.
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Published: 08 November 2017
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| Fund:湖南省教育厅资助科研项目，项目编号：No.13C474。 |
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