Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework

Vision-based human activity recognition (HAR) has emerged as one of the essential research areas in video analytics. Over the last decade, numerous advanced deep learning algorithms have been introduced to recognize complex human actions from video streams. These deep learning algorithms have shown...

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Detalles Bibliográficos
Autores principales: Ullah, Hayat, Munir, Arslan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381293/
https://www.ncbi.nlm.nih.gov/pubmed/37504807
http://dx.doi.org/10.3390/jimaging9070130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381293/
https://www.ncbi.nlm.nih.gov/pubmed/37504807
http://dx.doi.org/10.3390/jimaging9070130

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