Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition

Graph convolution networks (GCNs) have been widely used in the field of skeleton-based human action recognition. However, it is still difficult to improve recognition performance and reduce parameter complexity. In this paper, a novel multi-scale attention spatiotemporal GCN (MSA-STGCN) is proposed...

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Detalles Bibliográficos
Autores principales: Yang, Huaigang, Ren, Ziliang, Yuan, Huaqiang, Wei, Wenhong, Zhang, Qieshi, Zhang, Zhaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797844/
https://www.ncbi.nlm.nih.gov/pubmed/36590083
http://dx.doi.org/10.3389/fnbot.2022.1091361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797844/
https://www.ncbi.nlm.nih.gov/pubmed/36590083
http://dx.doi.org/10.3389/fnbot.2022.1091361

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