Dynamic hand gesture recognition using hierarchical dynamic Bayesian networks through low-level image processing

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 6, Issue , 2008, Pages 3247-3253

  Wang, Wei Hua Andrew ^a   Tung, Chun Liang ^a  

^a TUNGHAI UNIVERSITY   (Taiwan)

Author keywords

Dynamic Bayesian networks; Dynamic hand gesture recognition; Fast differential color tracking algorithm

Indexed keywords

COLOR; CONTROL THEORY; CYBERNETICS; DIGITAL IMAGE STORAGE; DISTRIBUTED PARAMETER NETWORKS; GESTURE RECOGNITION; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEMS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTICAL PROPERTIES; ROBOT LEARNING; SPEECH ANALYSIS;

DYNAMIC BAYESIAN NETWORKS; FAST DIFFERENTIAL COLOR TRACKING ALGORITHM; HAND GESTURES; HUMAN HANDS; MOTION DIRECTIONS; MOTION PATTERNS; MOTION TRAJECTORIES; ON DYNAMICS; TRACKING OBJECTS;

BAYESIAN NETWORKS;

EID: 57849109556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620966     Document Type: Conference Paper

References (21)

1. Sushmita Mitra, and Tinku Acharya, "Gesture Recognition: A Survey", IEEE Trans. on Systems, Man, and Cybernetics, Vol 37, No. 3, pp. 311-324, May 2007.
2. Leonard E. Baum, T. Petrie, G. Soules, and N. Weiss, "A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains", Ann. Math. Statist., Vol 41, pp. 164-171, 1970.
3. Lin-Yi Chou, "Techniques to incorporate the benefits of a Hierarchy in a modified hidden Markov model", Proceedings of COLING/ACL2006, Sydney, pp. 120-127, 2006.
4. Frank Dellaert, "The Expectation Maximization Algorithm", Technical Report, College of Computing, Georgia Institute of Technology, February 2002.
5. Arthur P. Dempster, N.M. Laird and D.B. Rubin, "Maximum-likelihood from incomplete data via the EM algorithm", Journal of Royal Statistical Society, Vol. 39, pp. 1-38, 1977.
6. Thomas Dean, K. Kanazawa, "A model for reasoning about persistence and causation", Artificial Intelligence, Vol 5, No. 3, pp. 142-150, 1989.
7. Shai Fine, Y. Singer, and N. Tishby, "The Hierarchical Hidden Markov Model: Analysis and Applications", Machine Learning, Vol 32, pp 41-62, 1998.
8. Mike Hu, C. Ingram, M. Sirski, C. Pal, S. Swamy, and C. Patten, "A Hierarchical HMM Implementation for Vertebrate Gene Splice Site Prediction", Technical Report, Dept. Computer Science, Univ. Waterloo, 2000.
9. Frederick Jelinek, "Self-organized language modeling for speech recognition", Technical Report, IBM T.J. Watson Research Center, pp. 450-506, 1990.
10. Tatsuhiko Kinjo and K. Funaki, "On HMM Speech Recognition Based on Complex Speech Analysis", Proceedings of the Conference of Industrial Electronics, IEEE, pp. 3477-3480, Nov. 2006.
11. Daiki Kawanaka, T. Okatani, and K. Deguchi, "HHMM Based Recognition of Human Activity", IEICE Trans Inf. & Syst., Vol 89, No. 7, pp. 2180-2185, 2006.
12. Zhe Li, N. Hofemann, J. Fritsch, and G. Sagerer, "Hierarchical Modeling and Recognition of Manipulative Gesture", Procedding of IEEE ICCV Workshop On Modeling People and Human Interaction, Oct. 2005.
13. Kevin P. Murphy and M. Paskin, "Linear time inference in hierarchical HMM", Proceeding, of Neural Information Processing Systems, Vol 14, pp. 833-840, 2002.
14. Kevin P. Murphy, "Dynamic Bayesian networks: Representation, Inference and Learning", PhD thesis, UC Berkeley, Computer Science Division, 2002.
15. Nag, R., Wong, K.H. and Fallside, F. (1985). Script recognition using hidden Markov models. Proc. IEEE Int. Conf. on Acoust., Speech, Signal Processing, 2071-2074.
16. Lawrence Rabiner and B.H. Juang, "An introduction to hidden Markov models", IEEE ASSP Magzine, Vol3, No. 1, pp. 4-16, 1986.
17. Lawrence Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition", Proceeding of the IEEE, Vol 77, No. 2, pp. 257-285., 1989.
18. Jorg Rett and J. Dias, "Gesture Recognition Using a Marionette Model and Dynamic Bayesian Networks (DBNs)", Proceeding of ICIAR 2006, Portugal, pp. 69-80, 2006
19. Andrew D. Wilson and A.F. Bobick, "Parametric Hidden Markov Models for Gesture Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol 21, No. 9, pp. 884-900, 1999.
20. Zhang Zhang, K. Huang, T. Tan, "Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes", Proceeding of ICPR2006, Hong Kong, Vol 3, pp. 1135-1138, 2006.
21. Hector H. Aviles-Arriaga and L.E. Sucar, "Dynamic Bayesia networks for visual recognition of dynamic gestures", Journal of Intelligent & Fuzzy Systems, Vol 12, pp. 243-250, 2002