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About Xiao-Song2018 Article ActionRecognitionBasedOnHierar PDF
The document presents a new method for action recognition based on hierarchical dynamic Bayesian networks (HDBN). The method involves two stages: 1) A system learning stage where deep neural networks are used to extract video features and build a hierarchical action semantic dictionary, and an HDBN graph model is constructed. 2) A recognition stage where representative frames are input into the trained HDBN for classification. Experimental results show the proposed HDBN-based method performs well for action recognition.
Detailed Information
| Author: | ['art queen'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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