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Keys for Action: An Efficient Keyframe-Based Approach for 3D Action Recognition Using a Deep Neural Network
In this paper, we propose a novel and efficient framework for 3D action recognition using a deep learning architecture. First, we develop a 3D normalized pose space that consists of only 3D normalized poses, which are generated by discarding translation and orientation information. From these poses,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218879/ https://www.ncbi.nlm.nih.gov/pubmed/32326468 http://dx.doi.org/10.3390/s20082226 |