Human action recognition method based on Motion Excitation and Temporal Aggregation module

Aiming at the problem of low modeling efficiency and feature loss of temporal modeling in human action recognition, we propose a human action recognition method based on Motion Excitation and Temporal Aggregation module (META). The method can capture multi-state and multi-scale temporal information...

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Detalles Bibliográficos
Autores principales: Ye, Qing, Tan, Zexian, Zhang, Yongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647446/
https://www.ncbi.nlm.nih.gov/pubmed/36387431
http://dx.doi.org/10.1016/j.heliyon.2022.e11401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647446/
https://www.ncbi.nlm.nih.gov/pubmed/36387431
http://dx.doi.org/10.1016/j.heliyon.2022.e11401

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