2023
DOI: 10.1109/access.2023.3309420
|View full text |Cite
|
Sign up to set email alerts
|

Distinct Motion-Preserving Graph Convolutional Network for Two-Person Interaction Recognition

Nguyen Ngoc Cuc Phuong,
Dinh Tuan Tran,
Joo-Ho Lee

Abstract: Graph Convolutional Networks (GCNs) have gained widespread adoption in modeling human skeleton sequences for two-person interaction recognition. Most GCN-based models achieve state-of-the-art results by leveraging either intra-body or inter-body connections. However, using only intra-body relations may ignore important interactive features between two individuals, whereas relying on inter-body relations may weaken the specific motion dynamics of each skeleton. To address these shortcomings, we propose a Distin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 49 publications
0
0
0
Order By: Relevance