Human Motion Variation Synthesis with Multivariate Gaussian Processes

Human Motion Variation Synthesis with Multivariate Gaussian Processes

Abstract

Human motion variation synthesis is important for crowd simulation and interactive applications to enhance synthesis quality. In this paper, we propose a novel generative probabilistic model to synthesize variations of human motion. Our key idea is to model the conditional distribution of each joint via a multivariate Gaussian process model, namely semi-parametric latent factor model (SLFM). SLFM can effectively model the correlations between degrees of freedom (DOFs) of joints rather than dealing with each DOF separately as implemented in existing methods. A detailed evaluation is performed to show that the proposed approach can effectively synthesize variations of different types of motions. Motions generated by our method show a richer variation compared with existing ones. Finally, our user study shows that the synthesized motion has a similar level of naturalness to captured human motions. Our method is best applied in computer games and animations to introduce motion variations.

Publication

Liuyang Zhou, Lifeng Shang, Hubert P. H. Shum and Howard Leung,
"Human Motion Variation Synthesis with Multivariate Gaussian Processes",
Computer Animation and Virtual Worlds (CAVW) - Proceedings of the 2014 International Conference on Computer Animation and Social Agents (CASA)

Citation=1## IF=0.697#

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References

BibTeX

@article{zhou14human,
 author={Zhou, Liuyang and Shang, Lifeng and Shum, Hubert P. H. and Leung, Howard},
 journal={Computer Animation and Virtual Worlds},
 title={Human Motion Variation Synthesis with Multivariate Gaussian Processes},
 year={2014},
 volume={25},
 number={3--4},
 pages={301--309},
 numpages={9},
 doi={10.1002/cav.1599},
 publisher={John Wiley and Sons Ltd.},
 Address={Chichester, UK},
}

EndNote/RefMan

TY  - JOUR
AU  - Zhou, Liuyang
AU  - Shang, Lifeng
AU  - Shum, Hubert P. H.
AU  - Leung, Howard
T2  - Computer Animation and Virtual Worlds
TI  - Human Motion Variation Synthesis with Multivariate Gaussian Processes
PY  - 2014
VL  - 25
IS  - 3--4
SP  - 301
EP  - 309
DO  - 10.1002/cav.1599
PB  - John Wiley and Sons Ltd.
ER  - 

Plain Text

Liuyang Zhou, Lifeng Shang, Hubert P. H. Shum and Howard Leung, "Human Motion Variation Synthesis with Multivariate Gaussian Processes," Computer Animation and Virtual Worlds, vol. 25, no. 3--4, pp. 301-309, John Wiley and Sons Ltd., 2014.

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Last update: 18/06/2019