Action Recognition With Spatio-Temporal Visual Attention on Skeleton Image Sequences

Action recognition with 3D skeleton sequences became popular due to its speed and robustness. The recently proposed convolutional neural networks (CNNs)-based methods show a good performance in learning spatio-temporal representations for skeleton sequences. Despite the good recognition accuracy ach...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2019-08, Vol.29 (8), p.2405-2415
Main Authors: Yang, Zhengyuan, Li, Yuncheng, Yang, Jianchao, Luo, Jiebo
Format: Article
Language:English
Subjects:
Action and activity recognition
Architecture
Artificial neural networks
Aspect ratio
Datasets
human analysis
Image enhancement
Image recognition
Image sequences
Joints (anatomy)
Object recognition
Optical imaging
Performance enhancement
Representations
Semantics
Skeleton
Three-dimensional displays
Two dimensional displays
video understanding
visual attention
Visualization
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