Attention-Based Temporal Encoding Network with Background-Independent Motion Mask for Action Recognition

Convolutional neural network (CNN) has been leaping forward in recent years. However, the high dimensionality, rich human dynamic characteristics, and various kinds of background interference increase difficulty for traditional CNNs in capturing complicated motion data in videos. A novel framework n...

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Detalles Bibliográficos
Autores principales: Weng, Zhengkui, Jin, Zhipeng, Chen, Shuangxi, Shen, Quanquan, Ren, Xiangyang, Li, Wuzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024088/
https://www.ncbi.nlm.nih.gov/pubmed/33859682
http://dx.doi.org/10.1155/2021/8890808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024088/
https://www.ncbi.nlm.nih.gov/pubmed/33859682
http://dx.doi.org/10.1155/2021/8890808

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