SRNet: Structured Relevance Feature Learning Network From Skeleton Data for Human Action Recognition

SRNet: Structured Relevance Feature Learning Network From Skeleton Data for Human Action Recognition

In recent years, human action recognition based on skeleton information has recently drawn increasing attention with published large-scale skeleton datasets. The most crucial factors for this task line in two aspects: the intra-frame representation for joint co-occurrences and the inter-frame repres...

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Bibliographic Details
Main Authors: Weizhi Nie, Wei Wang, Xiangdong Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
human action recognition
human skeleton information
Online Access:https://ieeexplore.ieee.org/document/8832127/

Internet

https://ieeexplore.ieee.org/document/8832127/

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