Multimodal multipart learning for action recognition in depth videos

• Main Authors: Shahroudy, Amir, Ng, Tian-Tsong, Yang, Qingxiong, Wang, Gang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Action Recognition; Kinect
• Online Access: https://hdl.handle.net/10356/87094; http://hdl.handle.net/10220/45224
• Institution: Nanyang Technological University

The articulated and complex nature of human actions makes the task of action recognition difficult. One approach to handle this complexity is dividing it to the kinetics of body parts and analyzing the actions based on these partial descriptors. We propose a joint sparse regression based learning me...