DocumentCode :
3575964
Title :
Real-time optimization for the high-fidelity of human motion imitation
Author :
Hyejin Han ; Jounghuem Kwon ; Jiyong Lee ; Destenay, Romain ; Bum-Jae You
Author_Institution :
Center of Human-centered Interaction for Coexistence(CHIC), Seoul, South Korea
fYear :
2014
Firstpage :
692
Lastpage :
695
Abstract :
This paper proposes a real-time optimization method for the high-fidelity of human motion imitation using a marker-based motion capture system. Although many ways to generate realistic synthetic motions from the capturing data have been developed, there are common problems related to marker occlusion. Our approach is useful for getting over marker occlusion in real-time system environments, and this is fit for altering human motion to other skeleton structures such as human avatars and humanoid robots. In this paper, we applied the proposed optimization method to construct the whole body joint configuration. The result has been demonstrated by simulation test using a 20-DOF skeleton model.
Keywords :
image motion analysis; object tracking; degrees-of-freedom; human avatar; human motion imitation; humanoid robot; imitation high-fidelity; marker occlusion; marker-based motion capture system; realtime optimization method; skeleton structure; synthetic motion generation; twenty-DOF skeleton model; whole body joint configuration; Data models; Estimation; Joints; Optimization methods; Real-time systems; Tracking; Human Motions; Motion Capture; Motion Imitation; Motion Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2014 11th International Conference on
Type :
conf
DOI :
10.1109/URAI.2014.7057499
Filename :
7057499
Link To Document :
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