Robust Multi-Feature Learning for Skeleton-Based Action Recognition

Robust Multi-Feature Learning for Skeleton-Based Action Recognition

Skeleton-based action recognition has advanced significantly in the past decade. Among deep learning-based action recognition methods, one of the most commonly used structures is a two-stream network. This type of network extracts high-level spatial and temporal features from skeleton coordinates an...

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Bibliographic Details
Main Authors: Yingfu Wang, Zheyuan Xu, Li Li, Jian Yao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Action recognition
skeleton
multi-feature learning
CNN
robustness
Online Access:https://ieeexplore.ieee.org/document/8859223/

Internet

https://ieeexplore.ieee.org/document/8859223/

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