Action Recognition Based on the Fusion of Graph Convolutional Networks with High Order Features

Jiuqing Dong
Jiuqing Dong
Heng Zhou
Heng Zhou
Yifan Yao
Yifan Yao
Bo Huang
Bo Huang

APPLIED SCIENCES-BASEL, pp. 14822020.

Cited by: 0|Bibtex|Views28|DOI:https://doi.org/10.3390/app10041482
Other Links: academic.microsoft.com

Abstract:

Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recognition. Graph convolutional networks have been implemented on those skeletal data to recog...More

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