Deep learning on lie groups for skeleton-based action recognition

• Main Authors: HUANG, Zhiwu, WAN, C., PROBST, T., VAN, Gool L.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Manifolds; Three-dimensional displays; Neural networks; Machine learning; Computer architecture; Skeleton; Transforms; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6390; https://ink.library.smu.edu.sg/context/sis_research/article/7393/viewcontent/Deep_learning.pdf
• Institution: Singapore Management University

In recent years, skeleton-based action recognition has become a popular 3D classification problem. State-of-the-art methods typically first represent each motion sequence as a high-dimensional trajectory on a Lie group with an additional dynamic time warping, and then shallowly learn favorable Lie g...