Mutually reinforcing motion-pose framework for pose invariant action recognition

• Main Authors: Ramanathan, Manoj, Yau, Wei-Yun, Thalmann, Nadia Magnenat, Teoh, Eam Khwang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Aaction Recognition; Pose-invariant Motion Feature
• Online Access: https://hdl.handle.net/10356/142072
• Institution: Nanyang Technological University

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...