Mutually reinforcing motion-pose framework for pose invariant action recognition

• Main Authors: Ramanathan, Manoj, Yau, Wei-Yun, Thalmann, Nadia Magnenat, Teoh, Eam Khwang
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Aaction Recognition; Pose-invariant Motion Feature
• 在線閱讀: https://hdl.handle.net/10356/142072

Action recognition from videos has many potential applications. However, there are many unresolved challenges, such as pose-invariant recognition, robustness to occlusion and others. In this paper, we propose to combine motion of body parts and pose hypothesis generation validated with specific cano...