Segmentation and recognition of continuous gestures

Proceedings - International Conference on Image Processing, ICIP

Volumn 1, Issue , 2006, Pages 365-368

  Li, Hong ^a   Greenspan, Michael ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Continuous Dynamic Programming; Continuous gesture recognition; Dynamic time warping; Gesture Model; Motion signature

Indexed keywords

DYNAMIC PROGRAMMING;

DYNAMIC TIME WARPING; HUMAN GESTURES; MOTION SIGNATURES; MUTUAL INFORMATIONS; SPATIO TEMPORAL; SURFACE-BASED; TIME VARYING; TIME-PERIODS;

GESTURE RECOGNITION;

EID: 48149100442     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4378967     Document Type: Conference Paper

References (19)

1. J. K. Aggarwal and Q. Cai, "Human motion analysis: A review," CVIU, vol. 73, no. 3, pp. 428-440, 1999.
2. T. B. Moeslund and E. Granum, "A survey of computer vision-based human motion capture," CVIU, vol. 81, pp. 231-268, 2001.
3. T. Darrell and A. Pentland, "Space-time gestures," in Proc. IEEE Conf. Comp. Vis. Pat. Rec., 1993, pp. 335-340.
4. Rung-Huei Liang and Ming Ouhyoung, "A real-time continuous gesture recognition system for sign language," in IEEE Intl. Conf. Automatic Face and Gesture Rec., 1998, pp. 558-567.
5. Hyeon-Kyu Lee and Jin H. Kim, "An hmm-based threshold model approach for gesture recognition," IEEE Trans. PAMI, vol. 21, no. 10, pp. 961-973, 1999.
6. T. Stamer, J. Weaver, and A. Pentland, "Real-time american sign language recognition using desk and wearable computer based video," IEEE Trans. PAMI, vol. 20, no. 12, pp. 1371-1375, 1998.
7. R. Bowden, D. Windridge, T. Kadir, A. Zisserman, and M. Brady, "A linguistic feature vector for the visual interpretation of sign language," in European Conference on Computer Vision, 2004, vol. 1, pp. 391-401.
8. Shu-Fai Wong and R. Cipolla, "Continuous gesture recognition using a sparse bayesian classifier," in IEEE Intl. Conf. Pat. Rec., 2006, vol. 1, pp. 1084-1087.
9. R. Oka, "Spotting method for classification of real world data," The Computer Journal, vol. 41, no. 8, pp. 559-565, 1998.
10. H. Li and M. Greenspan, "Multi-scale gesture recognition from time-varying contours," in ICCV, 2005, vol. I, pp. 236-243.
11. H. Li and M. Greenspan, "Continuous time-varying gesture segmentation by dynamic time warping of compound gesture models," in International Workshop on Human Activity Recognition and Modelling (HARAM), 2005, pp. 35-42.
12. H. Wu, R. Kido, and T. Shioyama, "Improvement of continuous dynamic programming for human gesture recognition," in IEEE Intl. Conf. Pat. Rec., 2000, vol. 2, pp. 945-948.
13. J. Alon, V. Athitsos, and S. Sclaroff, "Accurate and efficient gesture spotting via pruning and subgesture reasoning," in ICCV 2005 HCI Workshop, 2005, pp. 189-198.
14. C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, "Pfinder: Real-time tracking of the human body," IEEE Trans. PAMI, vol. 19, no. 7, pp. 780-785, 1997.
15. S. Suzuki and K. Abe, "Topological structural analysis of digitized binary images by border following," Computer Vision, Graphics, and Image Processing, vol. 30, pp. 32-46, 1985.
16. P. Peixoto, J. Goncalves, and H. Ara-jo, "Real-time gesture recognition system based on contour signatures," in IEEE Intl. Conf. Pat. Rec., 2002, vol. 1, pp. 447-450.
17. L. Wang, T. Tan, H. Ning, and W. Hu, "Silhouette analysis-based gait recognition for human identification," IEEE Trans. PAMI, vol. 35, no. 12, pp. 1505-1518, 2003.
18. H.F. Silverman and D.P. Morgan, "The application of dynamic programming to connected speech recognition," IEEE ASSP Magazine, vol. 7, no. 3, pp. 6-25, 1990.
19. C. A. Ratanamahatana and E. Keogh, "Everything you know about dynamic time warping is wrong," in 3rd Workshop on Mining Temporal and Sequential Data, 2004.