Pose-invariant kinematic features for action recognition

• Main Authors: Ramanathan, Manoj, Yau, Wei-Yun, Teoh, Eam Khwang, Thalmann, Nadia Magnenat
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Engineering::Electrical and electronic engineering; Action Recognition; Pose-invariance
• 在線閱讀: https://hdl.handle.net/10356/138068

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...