A tied-mixture 2-D HMM face recognition system

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 2, 2002, Pages 453-456

  Othman, H ^a   Aboulnasr, T ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; MARKOV PROCESSES; MODEL STRUCTURES; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); HIDDEN MARKOV MODELS; MIXTURES; PATTERN RECOGNITION;

HIDDEN MARKOV MODEL (HMM); MODEL STATES; NON-ROBUST ESTIMATION; TIED STATE MIXTURES;

FACE RECOGNITION;

FACE RECOGNITION SYSTEMS; LOWER COMPLEXITY; MODEL STATE; ROBUST ESTIMATION; SECOND-ORDER HIDDEN MARKOV MODELS; TIED-MIXTURES; TRAINING DATA;

EID: 33748868604     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. F. S. Samaria, "Face Recognition Using Hidden Markov Model," Ph.D. Thesis, Univ. Cambridge 1994.
2. A. Nefian and M. H. Hayes III, "Hidden Markov Models For Face Recognition," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, Seattle, Washington, 1998, vol. 5, pp. 2721-2724.
3. A. Nefian and M. H. Hayes III, "Maximum Likelihood Training of the Embedded HMM For Face Detection and Recognition," Proc. Int'l Conf. Image Processing, 2000, vol. 1, pp. 33-36.
4. H. Othman and T. Aboulnasr, "Low-Complexity 2-D Hidden Markov Model Face Recognition," Proc. IEEE Int'l Symp. Circuits and Systems, Geneva, Switzerland, 2000, vol. V, pp. 33-36.
5. L. R. Rabiner, "A Tutorial On Hidden Markov Models and Selected Application in Speech Recognition," Proc. IEEE, Feb. 1989, vol. 77, No. 2, pp. 257-286.
6. H. Othman and T. Aboulnasr, " A Simplified Second-Order HMM with Application to Face Recognition," Int'l Conf. Acoustics, Speech, and Signal Processing, Sydney, Australia, 2001, vol. II, pp. 61-64.
7. K. S. Nathan, Homayoon S. M. Beigi, J. Subrahmonia, Gregory J. Clary and Hiroshi Maruyama, "Real-Time On-Line Unconstrained Handwriting Recognition Using Statistical Methods," Int'l Conf. Acoustics, Speech, and Signal Processing, 1995, vol. 4, pp. 2619-2622.
8. A. W. Senior and K. S. Nathan, "Writer Adaptation of an HMM handwriting recognition system", Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, 1997, vol. 2, pp.1447-1450.
9. L. Gu, K. Rose, "Sub-State Tying In Tied Mixture Hidden Markov Models," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, 2000, vol. 2, pp. 1013-1016
10. A. Lee, T. Kawahara, K. Takeda and K. Shikano, "A New Phonetic Tied Mixture Model For Efficient Decoding," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, 2000, pp. 1269-1272.
11. K. S. Nathan, J. R. Bellegarda, D. Nahamoo, E. J. Bellegarda, " On -Line Handwriting Recognition Using Continuous Parameter Hidden Markov Model," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, vol. 5, pp.121-124.
12. V. V. Digalakis, P. Monaco, and Hy Murveit, " Genones: Generalized Mixture Tying in Continuous Hidden Markov Model-based Speech Recognizers," IEEE Trans. Speech and Audio Processing, vol. 4, No. 4, July 1996, pp. 281-289.
13. X. D. Huang and M. A. Jack, " Semi-continuous Hidden Markov Models for Speech Signals," Computer Speech and Language, 3(3):239-252.
14. Y. Linde, A. Buzo, and R. M. Gray, " An Algorithm for Vector Quantizer Design," IEEE Trans. On Communications, vol. 28, Jan 1980, pp.84-95.