Skeleton-based human action recognition with graph neural networks

• Main Author: U S Vaitesswar
• Other Authors: Yeo Chai Kiat
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/156866
• Institution: Nanyang Technological University

Skeleton-based action recognition is a long-standing task in computer vision which aims to distinguish different human actions by identifying their unique characteristic patterns in the input data. Most of the existing GCN-based models developed for this task primarily model the skeleton graph as ei...