Self-Supervised Learning for Visual Tracking and Recognition of Human Hand

Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, AAAI 2000

Volumn , Issue , 2000, Pages 243-248

  Wu, Ying ^a   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

GENERALISATION; HUMAN HANDS; LEARNING PARADIGMS; STATISTIC MODELING; STATISTICAL LEARNING; TRAINING DATA; TRAINING DATASET; VISUAL RECOGNITION; VISUAL TRACKING; VISUAL-PROCESSING;

SUPERVISED LEARNING;

EID: 84984883959     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Basri, R.; Roth, D.; and Jacobs, D. 1998. Clustering appearances of 3D objects. In Proc. of IEEE Int'l Conf. Computer Vision and Pattern Recognition.
2. Bennett, K., and Demiriz, A. 1998. Semi-supervised support vector machines. In Proc. of Neural Information Processing Systems.
3. Cui, Y., and Weng, J. 1996. Hand sign recognition from intensity image sequences with complex background. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 88-93.
4. Davis, J., and Shah, M. 1994. Visual gesture recognition. Vision, Image, and Signal Processing 141:101-106.
5. Duda, R., and Hart, P. 1973. Pattern Classification and Scene Analysis. New York: Wiley.
6. Gammerman, A.; Vapnik, V.; and Vowk, V. 1998. Learning by transduction. In Proc. of Conf. Uncertainty in Artificial Intelligence, 148-156.
7. Heap, T., and Hogg, D. 1996. Towards 3D hand tracking using a deformable model. In Proc. of IEEE Int'l Conf. Automatic Face and Gesture Recognition.
8. Joachims, T. 1999. Transductive inference for text classification using support vector machines. In Proc. of Int'l Conf. on Machine Learning.
9. Jones, M., and Rehg, J. 1998. Statistical color models with application to skin detection. Technical Report CRL 98/11, Compaq Cambridge Research Lab.
10. Kjeldsen, R., and Kender, J. 1996. Finding skin in color images. In Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 312-317.
11. Kuch, J. J., and Huang, T. S. 1995. Vision-based hand modeling and tracking for virtual teleconferencing and telecollaboration. In Proc. of IEEE Int'l Conf. on Computer Vision, 666-671.
12. Lee, J., and Kunii, T. 1995. Model-based analysis of hand posture. IEEE Computer Graphics and Applications 77-86.
13. Mitchell, T. 1999. The role of unlabeled data in supervised learning. In Proc. Sixth Int'l Colloquium on Cognitive Science.
14. Nigam, K.; McCallum, A.; Thrun, S.; and Mitchell, T. 1999. Text classification from labeled and unlabeled documents using EM. Machine Learning.
15. Quek, F., and Zhao, M. 1996. Inductive learning in hand pose recognition. In Proc. of IEEE Int'l Conf. on Automatic Face and Gesture Recognition.
16. Raja, Y.; McKenna, S.; and Gong, S. 1998. Colour model selection and adaptation in dynamic scenes. In Proc. of European Conf. on Computer Vision.
17. Rehg, J., and Kanade, T. 1995. Model-based tracking of self-occluding articulated objects. In Proc. of IEEE Int'l Conf. Computer Vision, 612-617.
18. Swain, M., and Ballard, D. 1991. Color indexing. Int. J. Computer Vision 7:11-32.
19. Triesch, J., and von de Malsburg, C. 1996. Robust classification of hand postures against complex background. In Proc. Int'l Conf. On Automatic Face and Gesture Recognition.
20. Vapnik, V. 1995. The Nature of Statistical Learning Theory. New York: Springer-Verlag.
21. Wu, Y., and Huang, T. S. 1999. Capturing articulated human hand motion: A divide-and-conquer approach. In Proc. IEEE Int'l Conf. on Computer Vision, 606-611.
22. Wu, Y.; Liu, Q.; and Huang, T. S. 2000. An adaptive self-organizing color segmentation algorithm with application to robust real-time human hand localization. In Proc. of Asian Conference on Computer Vision, 1106-1111.