• 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