DocumentCode :
3179070
Title :
A Three-level Motion Texture for Human Motion Modeling
Author :
Huang, Tianyu ; Li, Fengxia ; Zhan, Shouyi
Author_Institution :
Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol.
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
2270
Lastpage :
2275
Abstract :
A three-level motion texture is proposed to model complex human motion that is statistically similar to the original motion data. The three-level structure, namely moton index, moton and moton distribution, is defined to synthesize motions. To describe the continuous and nonlinear dynamics of human motion, the motion texture is modeled by a non-stationary switching linear dynamic system (NS-SLDS), which improves the switching linear dynamic system (SLDS) by non-stationary functions. A BSK-tree (binary key-pose splitting tree) retrieval method applied in motons supplies the ability to access data in frame-level. Thus the motion texture can be manipulated at three different levels, by retrieving key-frame in specific moton, by changing the details of a specific motion at the moton-level and by designing a new choreography at the distribution-level. In motion synthesis experiments, the proposed approach was proved flexible and effective
Keywords :
dynamics; image motion analysis; image texture; trees (mathematics); binary key-pose splitting tree retrieval; continuous dynamics; human motion modeling; motion synthesis; moton index; nonlinear dynamics; nonstationary switching linear dynamic system; three-level motion texture; Animation; Computer science; Computer vision; Hidden Markov models; Humans; Information retrieval; Intelligent robots; Nonlinear dynamical systems; Speech synthesis; Superluminescent diodes; KBS-tree; NS-SLDS; motion texture; moton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282631
Filename :
4058724
Link To Document :
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