Skeleton-based human action recognition with graph neural networks

• المؤلف الرئيسي: U S Vaitesswar
• مؤلفون آخرون: Yeo Chai Kiat
• التنسيق: Thesis-Master by Research
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156866

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...