Improving Skeleton-Based Action Recognition Using Part-Aware Graphs in a Multi-Stream Fusion Context

Skeleton-based human action recognition with Graph Convolutional Networks is an active research field that has gained increased popularity over the last few years. A challenge in skeleton-based action recognition is the design of a model in a way that captures fine-grained motions and the relations...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Zois Tsakiris, Lazaros Tsochatzidis, Ioannis Pratikakis
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Graph convolutional networks skeleton-based action recognition part-aware graphs
Online Access:	https://ieeexplore.ieee.org/document/10288432/