Mutually reinforcing motion-pose framework for pose invariant action recognition

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...

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Bibliographic Details
Main Authors: Ramanathan, Manoj, Yau, Wei-Yun, Thalmann, Nadia Magnenat, Teoh, Eam Khwang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142072