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...

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Detalles Bibliográficos
Autores principales: Hussain, Altaf, Hussain, Tanveer, Ullah, Waseem, Baik, Sung Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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