Segmenting motion capture data into distinct behaviors

Proceedings - Graphics Interface

Volumn , Issue , 2004, Pages 185-194

  Barbič, Jernej ^a   Safonova, Alla ^a   Pan, Jia Yu ^a   Faloutsos, Christos ^a   Hodgins, Jessica K ^a   Pollard, Nancy S ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Human motion; Motion capture; Motion segmentation; PCA

Indexed keywords

HUMAN MOTION; MOTION CAPTURE; MOTION SEGMENTATION; PCA;

ALGORITHMS; ANIMATION; CORRELATION METHODS; ELECTRON BEAMS; IMAGE SEGMENTATION; MATHEMATICAL MODELS;

COMPUTER GRAPHICS;

EID: 4143092607     PISSN: 07135424     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data for data mining applications. In Proc. of ACM SIGMOD, pages 94-105, 1998.
2. O. Arikan and D. A. Forsyth. Interactive motion generation from examples. In Proc. of SIGGRAPH, pages 483-490. ACM Press, 2002.
3. O. Arikan, D. A. Forsyth, and J. F. O'Brien. Motion synthesis from annotations. In Proc. of SIGGRAPH, Computer Graphics Proceedings, Annual Conference Series, pages 402-408. ACM Press / ACM SIGGRAPH, 2003.
4. C. Bishop. Bayesian PCA. Proc. of Neural Information Processing Systems, 11:382-388, 1998.
5. M. Brand and A. Hertzmann. Style machines. In Proc. of SIGGRAPH, pages 183-192. ACM Press/Addison-Wesley Publishing Co., 2000.
6. M. E. Brand and V. Kettnaker. Discovery and segmentation of activities in video. IEEE Trans. on Pat tern Analysis and Machine Intelligence (TPAMI), 22(8):844-851, 2000.
7. F. De la Torre and M. J. Black. A framework for robust subspace learning. International Journal of Computer Vision, 54(1-3):117-142, 2003.
8. R.O. Duda, P.E.Hart, and D.G.Stork. Pattern Classification. Wiley & Sons, New York, 2001.
9. D.J. Fleet, M.J. Black, Y. Yacoob, and A.D. Jepson. Design and use of linear models for image motion analysis. Int. J. of Computer Vision, 36(3):171-193, 2000.
10. A. Fod, M. J. Mataric, and O. C. Jenkins. Automated derivation of primitives for movement classification. Autonomous Robots, 12(1):39-54, 2002.
11. K. Fukunaga. Statistical Pattern Recognition, 2nd Edition. John Hopkins University Press, Baltimore, 1989.
12. K. Fukunaga and D. Olsen. An algorithm for finding intrinsic dimensionality of data. IEEE Trans. Computers, 20(2), 1971.
13. A. Hyvarinen, J. Karhunen, and E. Oja. Independent Components Analysis. John Wiley & Sons, New York, 2001.
14. O. C. Jenkins and M. J. Mataric. Deriving action and behavior primitives from human motion data. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2551-2556, 2002.
15. I.T. Jolliffe. Principal Component Analysis. Springer Verlag, New York, 1986.
16. L. Kovar, M. Gleicher, and F. Pighin. Motion graphs. In Proc. of SIGGRAPH, pages 473-482. ACM Press, 2002.
17. J. Lee, J. Chai, P. Reitsma, J. Hodgins, and N. Pollard. Interactive control of avatars animated with human motion data. In Proc. of SIGGRAPH, volume 3 of Computer Graphics Proceedings, Annual Conference Series, pages 491-500. ACM Press / ACM SIGGRAPH, 2002.
18. T.-W. Lee and M.S. Lewicki. Unsupervised image classification, segmentation, and enhancement using ica mixture models. IEEE Trans. on Image Processing, 11(3):270-279, 2002.
19. Yan Li, Tianshu Wang, and Heung-Yeung Shum. Motion texture: A two-level statistical model for character motion synthesis. ACM Transactions on Graphics, 21(3):465-472, 2002.
20. T. P. Minka. Automatic choice of dimensionality for PCA. In Proc. of Neural Information Processing Systems, pages 598-604, 2000.
21. N. Oliver, E. Horvitz, and A. Garg. Layered representations for human activity recognition. In Fourth IEEE Int. Conf. on Multimodal Interfaces, pages 3-8, 2002.
22. D. Pelleg and A. Moore. X-means: Extending K-means with efficient estimation of the number of clusters. In Proc. of the Seventeenth Int. Conf. on Machine Learning, pages 727-734, 2000.
23. N. Peyrard and P. Bouthemy. Content-based video segmentation using statistical motion models. In Proc. of British Machine Vision Conf. BMVC'02, Cardiff, volume 2, pages 527-536, 2002.
24. Sam Roweis. EM algorithms for PCA and SPCA. In Proc. of Neural Information Processing Systems, volume 10, pages 626-632. The MIT Press, 1998.
25. M. Santello, M. Flanders, and J. F. Soechting. Patterns of hand motion during grasping and the influence of sensory guidance. Journal of Neuroscience, 22(4): 1426-1435, 2002.
26. M. E. Tipping and C. M. Bishop. Probabilistic principal component analysis. J. of the Royal Statistical Society, Series B, 61(3):611-622, 1999.
27. S. Vijayakumar and S. Schaal. LWPR : An o(n) algorithm for incremental real time learning in high dimensional space. In Proc. of Int. Conf. on Machine Learning (ICML2000), pages 1079-1086. ACM Press / ACM SIGGRAPH, 2000.
28. L. Zelnik-Manor and M. Irani. Event-based video analysis. In Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 123-130. IEEE, 2001.