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Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos
Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN) based features extraction and classification methods employed for surveillance and other applications. However, accurate identification of HAR from a sequence of frames is a challenging task due to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001125/ https://www.ncbi.nlm.nih.gov/pubmed/35419045 http://dx.doi.org/10.1155/2022/3454167 |