Advertisement

Movement Classes from Human Motion Data

  • Kang Hoon Lee
  • Jong Pil Park
  • Jehee Lee
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6758)

Abstract

We present a new method for identifying a set of movement types from unlabelled human motion data. One typical approach first segments input motion into a series of intervals, and then clusters those into a set of groups. Unfortunately, the dependency between segmentation and clustering causes trouble in alternate tuning of parameters. Instead, we unify those two tasks in a single optimization framework that searches for the optimal segmentation maximizing the quality of clustering. The genetic algorithm is employed to address this combinatorial problem with our own genetic representation and fitness function. As the primary benefit, the user is able to obtain a repertoir of major movements just by selecting the number of classses to be identified. We demonstrate the usefulness of our approach by providing visual descriptions of motion data, and an intuitive animation authoring interface based on movement collections.

Keywords

computer animation human motion data movement classfication 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lee, J., Shin, S.Y.: A Hierarchical Approach to Interactive Motion Editing for Human-Like Figures. In: 26th Annual Conference on Computer Graphics and Interactive Techniques, pp. 39–48. ACM Press, New York (1999)Google Scholar
  2. 2.
    Kovar, L., Gleicher, M.: Flexible Automatic Motion Blending with Registration Curves. In: 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 214–224. Eurographics Association, Switzerland (2003)Google Scholar
  3. 3.
    Lee, J., Chai, J., Reitsma, P.S.A., Hodgins, J.K., Pollard, N.S.: Interactive Control of Avatars Animated with Human Motion Data. ACM Trans. Graph. 21(3), 491–500 (2002)Google Scholar
  4. 4.
    Kovar, L., Gleicher, M., Pighin, F.: Motion Graphs. ACM Trans. Graph. 21(3), 473–482 (2002)CrossRefGoogle Scholar
  5. 5.
    Arikan, O., Forsyth, D.A., O’Brien, J.F.: Motion Synthesis from Annotations. ACM Trans. Graph. 22(3), 402–408 (2003)CrossRefzbMATHGoogle Scholar
  6. 6.
    Treuille, A., Lee, Y., Popović, Z.: Near-Optimal Character Animation with Continuous Control. ACM Trans. Graph. 26(3), 7 (2007)CrossRefGoogle Scholar
  7. 7.
    Barbič, J., Safonova, A., Pan, J.-Y., Faloutsos, C., Hodgins, J.K., Pollard, N.S.: Segmenting Motion Capture Data into Distinct Behaviors. In: Graphics Interface, pp. 185–194. Canadian Human-Computer Communications Society, Ontario (2004)Google Scholar
  8. 8.
    Fod, A., Mataric, M.J., Jenkins, O.C.: Automated Derivation of Primitives for Movement Classfication. Auton. Robots 12(1), 39–54 (2002)CrossRefzbMATHGoogle Scholar
  9. 9.
    Kwon, T., Shin, S.Y.: Motion Modeling for On-Line Locomotion Synthesis. In: 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 29–38. ACM Press, New York (2005)CrossRefGoogle Scholar
  10. 10.
    Müller, M., Röder, T., Clausen, M.: Efficient Content-Based Retrieval of Motion Capture Data. ACM Trans. Graph. 24(3), 677–685 (2005)CrossRefGoogle Scholar
  11. 11.
    Kovar, L., Gleicher, M.: Automated Extraction and Parameterization of Motions in Large Data Sets. ACM Trans. Graph. 23(3), 559–568 (2004)CrossRefGoogle Scholar
  12. 12.
    Meng, J., Yuan, J., Hans, M., Wu, Y.: Mining Motifs from Human Motion. In: Eurographics 2008–Short Papers, pp. 71–74 (2008)Google Scholar
  13. 13.
    Beaudoin, P., Coros, S., van de Panne, M., Poulin, P.: Motion-Motif Graphs. In: 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 117–126. Eurographics Association, Switzerland (2008)Google Scholar
  14. 14.
    Zhou, F., de la Torre, F., Hodgins, J.K.: Aligned Cluster Analysis for Temporal Segmentation of Human Motion. In: IEEE International Conference on Automatic Face and Gesture Recognition (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kang Hoon Lee
    • 1
  • Jong Pil Park
    • 2
  • Jehee Lee
    • 2
  1. 1.Kwangwoon UniversitySeoulKorea
  2. 2.Seoul National UniversitySeoulKorea

Personalised recommendations