Pose-invariant kinematic features for action recognition

• Main Authors: Ramanathan, Manoj, Yau, Wei-Yun, Teoh, Eam Khwang, Thalmann, Nadia Magnenat
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Engineering::Electrical and electronic engineering; Action Recognition; Pose-invariance
• Online Access: https://hdl.handle.net/10356/138068
• Institution: Nanyang Technological University

Recognition of actions from videos is a difficult task due to several factors like dynamic backgrounds, occlusion, pose-variations observed. To tackle the pose variation problem, we propose a simple method based on a novel set of pose-invariant kinematic features which are encoded in a human body ce...