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Motion modeling for on-line locomotion synthesis
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Source Symposium on Computer Animation archive
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
Los Angeles, California
SESSION: Motion capture and editing table of contents
Pages: 29 - 38  
Year of Publication: 2005
ISBN:1-7695-2270-X
Authors
Taesoo Kwon  Korea Advanced Institute of Science and Technology
Sung Yong Shin  Korea Advanced Institute of Science and Technology
Sponsors
Eurographics: Eurographics Association
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 79,   Citation Count: 14
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ABSTRACT

In this paper, we propose an example-based approach to on-line locomotion synthesis. Our approach consists of two parts: motion analysis and motion synthesis. In the motion analysis part, an unlabeled motion sequence is first decomposed into motion segments, exploiting the behavior of the COM (center of mass) trajectory of the performer. Those motion segments are subsequently classified into groups of motion segments such that the same group of motion segments share an identical footstep pattern. Finally, we construct a hierarchical motion transition graph by representing these groups and their connectivity to other groups as nodes and edges, respectively. The coarse level of this graph models locomotive motions and their transitions, and the fine level mainly captures the cyclic nature of locomotive motions. In the motion synthesis part, given a stream of motion specifications in an on-line manner, the motion transition graph is traversed while blending the motion segments to synthesize a motion at a node, one by one, guided by the motion specifications. Our main contributions are the motion labeling scheme and a new motion model, embodied by the hierarchical motion transition graph, which together enable not only artifact-free motion blending but also seamless motion transition.


REFERENCES

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{KG04} Kovar L., Gleicher M.: Automated extraction and parameterization motions in large data sets. vol. 23, pp. 559--568.
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{Per92} Perry J.: Gait analysis: Normal and Pathological Function. Delmar Learning, 1992.
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{Win90} Winter D. A.: Biomechanics and Motor Control of Human Movement. John Wiley and Sons Inc, 1990.

CITED BY  14

Collaborative Colleagues:
Taesoo Kwon: colleagues
Sung Yong Shin: colleagues