Cargando…
Video Action Recognition Using Motion and Multi-View Excitation with Temporal Aggregation
Spatiotemporal and motion feature representations are the key to video action recognition. Typical previous approaches are to utilize 3D CNNs to cope with both spatial and temporal features, but they suffer from huge computations. Other approaches are to utilize (1+2)D CNNs to learn spatial and temp...
Autores principales: | Joefrie, Yuri Yudhaswana, Aono, Masaki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689149/ https://www.ncbi.nlm.nih.gov/pubmed/36421524 http://dx.doi.org/10.3390/e24111663 |
Ejemplares similares
-
Human action recognition method based on Motion Excitation and Temporal Aggregation module
por: Ye, Qing, et al.
Publicado: (2022) -
Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences
por: Bulbul, Mohammad Farhad, et al.
Publicado: (2021) -
Multi-surface analysis for human action recognition in video
por: Zhang, Hong-Bo, et al.
Publicado: (2016) -
STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video
por: Yang, Guoan, et al.
Publicado: (2022) -
An adaptively multi-correlations aggregation network for skeleton-based motion recognition
por: Yin, Xinpeng, et al.
Publicado: (2023)