Segmentation and recognition of motion streams by similarity search

ACM Transactions on Multimedia Computing, Communications and Applications

Volumn 3, Issue 3, 2007, Pages

  Li, Chuanjun ^a,b   Zheng, S Q ^a,b   Prabhakaran, B ^a,b  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b The University of Texas at Dallas

Author keywords

Gesture recognition; Motion capture; Pattern analysis; Principal component analysis; Segmentation; Similarity measures; Singular value decomposition

Indexed keywords

IMAGE SEGMENTATION; PRINCIPAL COMPONENT ANALYSIS; SEARCH ENGINES; SINGULAR VALUE DECOMPOSITION;

MOTION CAPTURE; PATTERN ANALYSIS; SIMILARITY MEASURES;

GESTURE RECOGNITION;

EID: 34548729146     PISSN: 15516857     EISSN: 15516865     Source Type: Journal    
DOI: 10.1145/1236471.1236475     Document Type: Article

References (24)

1. BERNDT, D. AND CLIFFORD, J. 1994. Using dynamic time warping to find patterns in time series. In Proceedings of the National Conference of Artificial Intelligence (AAAI) Workshop on Knowledge Discovery in Databases. 229-248.
2. CHEN, L., ÖZSU, M. T., AND ORIA, V. 2005. Robust and fast similarity search for moving object trajectories. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 491-502.
3. DYABERI, V. M., SUNDARAM, H., JAMES, J., AND QIAN, G. 2004. Phrase structure detection in dance. In Proceedings of the ACM Multimedia Conference. 332-335.
4. FALOUTSOS, C., RANGANATHAN, M., AND MANOLOPOULOS, Y. 1994. Fast subsequence matching in. time-series databases. In. Proceedings ofthe ACM SIGMOD International Conference on Management of Data. 419-429.
5. GOLUB, G. H. AND LOAN, C. F. V. 1996. Matrix Computations. Johns Hopkins University Press, Baltimore, MD.
6. G. W. STEWART. 1973. Error and perturbation bounds for subspace associated with certain eigenvalue problems. SIAM Rev. 15, 4, 727-764.
7. IKEMOTO, L. AND FORSYTH, D. A. 2004. Enriching a. motion collection by transplanting limbs. In Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation. 99-108.
8. KAHOL, K., TRIPATHI, P., PANCHANATHAN, S., AND RIKAKIS, T. 2003. Gesture segmentation in complex motion sequences. In Proceedings of the IEEE International Conference on Image Processing II. 105-108.
9. KRZANOWSKI, W. 1979. Between-Groups comparison of principal components. J. Amer. Stat. Assoc. 74, 367, 703-707.
10. LI, C., KULKARNI, P. R., LIU, L., PRABHAKARAN, B., AND KHAN, L. 2004a. Real-Time classification of multivariate motion data using support vector machines (SVM). In Proceedings of the 5th International Workshop on Multimedia Data Mining (MDM). 1-7.
11. LI, C., PRADHAN, G., ZHENG, S. Q., AND PRABHAKARAN, B. 2004b. Indexing of variable length multi-attribute motion, data. In Proceedings of the 2nd ACM International Workshop on Multimedia Databases. 75-84.
12. LI, C., ZHAI, P., ZHENG, S.-Q., AND PRABHAKARAN, B. 2004C. Segmentation and recognition of multi-attribute motion sequences. In Proceedings of the ACM Multimedia Conference. 836-843.
13. LIANG, R. H. AND OUHYOUNG, M. 1998. A. real-time continuous gesture recognition, system, for sign language. In Proceedings of the 3rd. International Conference on Face and Gesture Recognition. 558-565.
14. PULLEN, K. AND BREGLER, C. 2002. Motion, capture assisted animation: Texturing and synthesis. In Proceedings of the ACM SIGGRAPH International Conference on Computer Graphics and Interactive Techniques. 501-508.
15. QIAN, G., GUO, F., INGALLS, T., OLSON, L., JAMES, J., AND RIKAKIS, T. 2004. A gesture-driven multimodal interactive dance system. In Proceedings of the IEEE International Conference on Multimedia and Expo.
16. SCHOLLHORN, W., BM, B. N., STEFANYSHYN, D., AND LIU, W 2002. Identification, of individual walking patterns using time discrete and time continuous data sets. Gait and- Posture 15, 180-186.
17. SHAHABI, C., KAGHAZIAN, L., MEHTA, S., GHOTING, A., SHANBHAG, G., AND MCLAUGHLIN, M. 2001. Analysis of haptic data for sign language recognition. In Proceedings of the 9th International Conference on Human Computer Interaction. 441-445.
18. SHAHABI, C. AND YAN, D. 2003. Real-Time pattern isolation and recognition over immersive sensor data streams. In Proceedings of the 9th International Conference on Multi-Media Modeling. 93-113.
19. STARNER, T., WEAVER, J., AND PENTLAND, A. 1998. Real-Time American sign language recognition using desk and wearable computer based video. IEEE Trans. Pattern Anal. Mach. Intell. 20, 12, 1371-1375.
20. TAYLOR, C. J. 2000. Reconstruction of articulated objects from point correspondences in a single image. Comput. Vis. Image Understanding 80, 3, 349-363.
21. VICON. 2007. Online product introduction, http://www.vicon.com/ jsp/products/products.jsp.
22. VLACHOS, M., HADJIELEFTHERIOU, M., GUNOPULOS, D., AND KEOGH, E. 2003. Indexing multi-dimensional time-series with support for multiple distance measures. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 216-225.
23. WATELAIN, E., BARBIER, F., ALLARD, P., THEVENON, A., AND ANGUE, J. 2000. Gait pattern, classification of healthy elderly men based on biomechanical data. Arch. Phys. Med. Rehab. 81, 5, 579-586.
24. YANG, K. AND SHAHABI, C. 2004. A PCA-based similarity measure for multivariate time series. In Proceedings of the 2nd ACM International Workshop on Multimedia Databases. 65-74.