Adaptive multiple experts system for personal identification using facial behaviour biometrics

Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Volumn , Issue , 2008, Pages 660-665

  Tsai, Pohsiang ^a   Tich, Phuoc Tran ^a   Hintz, Tom ^a   Jan, Tony ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; FACE RECOGNITION; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

BIOMETRIC RECOGNITION TECHNOLOGIES; DATA COLLECTIONS; HUMAN IDENTIFICATIONS; INDIVIDUAL DIFFERENCES; MULTIPLE EXPERTS; PERSONAL IDENTIFICATIONS;

DATA STORAGE EQUIPMENT;

EID: 58049101384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2008.4665158     Document Type: Conference Paper

References (33)

1. M. Pantic and L.J.M. Rothkrantz, "Expert system for automatic analysis of facial expressions," Image and Vision Computing, vol. 18, no. 11, 2000, pp. 881-905.
2. M. Pantic and L.J.M. Rothkrantz, "Automatic analysis of facial expressions: the state of the art," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, 2000, pp. 1424-1445.
3. W. Hu, et al., "A survey on visual surveillance of object motion and behaviours," IEEE Transaction on Systems, Man, and Cyernetics - Part C: Applications and Reviews, vol. 34, no. 3, 2004, pp. 334-352.
4. T. Titsworth, "More than face value: airports and multimedia security," IEEE Multimedia, vol. 9, no. 2, 2002, pp. 11-13.
5. S. Cass and M.J. Riezenman, "Improving security, preserving privacy," IEEE Spectrum, vol. 39, no. 1, 2002, pp. 44-49.
6. A.K. Jain, et al., "An introduction to biometric recognition," IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, 2004, pp. 4-20.
7. J.F. COHN, et al., "Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding," Psychophysiology, vol. 36, 1999, pp. 35-43.
8. G. Johansson, "Visual perception of biological motion and a model for its analysis," Perception & Psychophysics, vol. 14, 1973, pp. 201-211.
9. G. Johansson, "Spatio-temporal differentiation and integration in visual motion perception," Psychological Research, vol. 38, 1976, pp. 379-393.
10. B. Knight and A. Johnston, "The role of movement in face recognition," Visual Cognition, vol. 4, no. 3, 1997, pp. 265-274.
11. K. Lander and V. Bruce, "Recognizing Famous Faces: Exploring the Benefits of Facial Motion," Ecological Psychology, vol. 12, no. 4, 2000, pp. 259-272.
12. P. Ekman and W.V. Friesen, Unmasking the Face, Prentice Hall, 1975.
13. A.J. O'Toole, et al., "Recognizing moving faces: a psychological and neural synthesis," Trends in Cognitive Sciences, vol. 6, no. 6, 2002, pp. 261-266.
14. D.A. Roark, et al., "Psychological and Neural Perspectives on the Role of Motion in Face Recognition," 2003, pp. 15-46.
15. H. Hill and A. Johnston, "Categorizing sex and identity from the biological motion of faces," Current Biology, vol. 11, no. 11, 2001, pp. 880-885.
16. K.L. Schmidt and J.F. Cohn, "Human facial expressions as adaptations: Evolutionary questions in facial expression," Yearbook of Physical Anthropology, vol. 44, 2001, pp. 3-24.
17. G.A. Moore, et al., "Mother's Affective Behavior with Infant Siblings: Stability and Change," Developmental Psychology, vol. 33, 1997, pp. 856-860.
18. K.L. Schmidt and J.F. Cohn, "Dynamics of facial expression: normative characteristics and individual differences," Proc. IEEE International Conference on Multimedia and Expo, 2001, pp. 547-550.
19. P. Tsai, et al., "kernel-based Subspace Analysis for Face Recognition," Proc. International Joint Conference on Neural Network, 2007.
20. Y. Liu, et al., "Facial asymmetry quantification for expression invariant human," Proc. Proceedings of Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002, pp. 198-204.
21. Y. Liu, et al., "Facial asymmetry quantification for expression invariant human identification," Computer Vision and Image Understanding: CVIU, vol. 91, no. 1-2, 2003, pp. 138-159.
22. L.I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms, John Wiley and Sons, 2004.
23. J. Kittler, et al., "On combining classifiers," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, 1998, pp. 226-239.
24. L. Vuurpijl, Schomaker, L., "Two-stage character classification: a combined approach of clustering and support vector classifiers," Proc. In International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2000, pp. 423-432.
25. L.I. Kuncheva, "A theoretical study on six classifier fusion strategies," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002., pp. 281-286.
26. Y. Freund and R.E. Schapir, "A decision-theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, vol. 1, no. 55, 1997, pp. 119-139.
27. J. Lu, et al., "Ensemble-based discriminant learning with boosting for face recognition," IEEE Transactions on Neural Networks, vol. 17, no. 1, 2006, pp. 166-178.
28. K. Woods, et al., "Combination of multiple classifiers using local accuracy estimates," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, 1997, pp. 405-310.
29. M. Lyons, et al., "Coding facial expressions with Gabor wavelets," Proc. IEEE International Conference on Automatic Face and Gesture Recognition, 1998, pp. 200-205.
30. Z. Zhang, et al., "Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron," Proc. IEEE International Conference on Automatic Face and Gesture Recognition, 1998, pp. 454-459.
31. M.J. Lyons, et al., "Automatic classification of single facial images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 12, 1999, pp. 1357-1362.
32. V. Ivancevic, et al., "Factor analysis of essential facial features," Proc. International conference on information technology interfaces, 2003, pp. 187-191.
33. M. Valstar and M. Pantic, "Fully Automatic Facial Action Unit Detection and Temporal Analysis," Proc. 2006 Conference on Computer Vision and Pattern Recognition Workshop, 2006, pp. 149-149.