Cargando…
A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition
Human action recognition is an important field in computer vision that has attracted remarkable attention from researchers. This survey aims to provide a comprehensive overview of recent human action recognition approaches based on deep learning using RGB video data. Our work divides recent deep lea...
Autores principales: | Le, Viet-Tuan, Tran-Trung, Kiet, Hoang, Vinh Truong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045967/ https://www.ncbi.nlm.nih.gov/pubmed/35498187 http://dx.doi.org/10.1155/2022/8323962 |
Ejemplares similares
-
Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey
por: Duong, Huu-Thanh, et al.
Publicado: (2023) -
Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances
por: Shambhu, Shankar, et al.
Publicado: (2022) -
Optimization of Mental Health-Related Critical Barriers in IoT-Based Teaching Methodology
por: Juneja, Abhinav, et al.
Publicado: (2022) -
Impact of Music in Males and Females for Relief from Neurodegenerative Disorder Stress
por: Salankar, Nilima, et al.
Publicado: (2022) -
Deep Learning for Retail Product Recognition: Challenges and Techniques
por: Wei, Yuchen, et al.
Publicado: (2020)