A Novel Method for Temporal Action Localization and Recognition in Untrimmed Video Based on Time Series Segmentation
Positioning of each action in a long complicated video is a challenging task in computer vision. To address this issue we propose a method with temporal boundary regression based on time series segmentation, which can generate proposals with flexible temporal duration. Firstly, we use a clustering a...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2019-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/8830395/ |
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