Fully automatic facial action unit detection and temporal analysis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2006, Issue , 2006, Pages

  Valstar, Michel ^a   Pantic, Maja ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GABOR WAVELET FEATURES; SPATIO-TEMPORAL FEATURES; SUPPORT VECTOR MACHINES; VIDEO PICTURING;

DATABASE SYSTEMS; FEATURE EXTRACTION; LEARNING SYSTEMS; SIGNAL FILTERING AND PREDICTION; VIDEO SIGNAL PROCESSING; WAVELET TRANSFORMS;

FACE RECOGNITION;

EID: 33845539308     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.85     Document Type: Conference Paper

References (20)

1. M.S. Bartlett, G. Littlewort, C. Lainscsek, I. Fasel, J. Movellan, "Machine Learning Methods for Fully Automatic Recognition of Facial Expressions and Actions", Proc. IEEE Int'l Conf. Systems Man and Cybernetics, vol 1, pp. 592-597, 2004
2. J.F. Cohn and K.L. Schmidt, "The timing of facial motion in posed and spontaneous smiles", Int'l J. Wavelets, Multiresolution and Information Processing, vol. 2, pp 1-12, 2004
3. G. Donato, M.S. Bartlett, J.C. Hager, P. Ekman, T.J. Sejnowski, "Classifying Facial Actions", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 21, No. 10, pp. 974-989, 1999
4. P. Ekman, W.V. Friesen and J.C. Hager, "The Facial Action Coding System: A Technique for the Measurement of Facial Movement", San Francisco: Consulting Psychologist, 2002
5. I.R. Fasel, B. Fortenberry and J.R. Movellan, "A generative frame-work for real time object detection and classification", Int'l J Computer Vision and Image Understanding, vol. 98, no. 1, pp. 181-210, 2005
6. J. Friedman, T. Hastie, and R. Tibshirani. "Additive logistic regression: a statistical view of boosting", The Annals of Statistics, 28(2), pp. 337-374, April 2000
7. M. Isard and A. Blake, "Condensation - conditional density propagation for visual tracking", Int'l J. Computer Vision, pp. 5-28, 1998
8. M. Osadchy, D. W. Jacobs and M. Lindenbaum, "Surface Dependent Representations for Illumination Insensitive Image Comparison" Technion CIS, vol. 2, 2005
9. M. Pantic and L.J.M. Rothkrantz, "Toward an Affect-Sensitive Multimodal Human-computer Interaction", Proceedings of the IEEE, vol. 91, no. 9, pp. 1370-1390, 2003
10. M. Pantic and L.J.M. Rothkrantz, "Facial action recognition for facial expression analysis from static face images", IEEE trans. on Systems, Man and Cybernetics Part B, vol. 34, pp. 1449-1461, 2004
11. M.Pantic, M.F. Valstar, R. Rademaker and L. Maat, "Web-based database for facial expression analysis", In ICME'05, pp. 317-321, 2005
12. I. Patras and M. Pantic, "Particle filtering with factorized likelihoods for tracking facial features", In FG'04, pp. 97-102, 2004
13. M.K. Pitt and N. Shephard. Filtering via simulation: auxiliary particle filtering. J, American Statistical Association, vol. 94, pp. 590-599, 1999
14. J.A. Russell and J.M. Fernandez-Dols, Eds., The Pshychology of Facial Expression, New York: Cambridge University Press, 1997
15. Y. Tian, T. Kanade and J.F. Cohn, "Recognizing action units for facial expression analysis", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 2, pp. 97-115, 2001
16. Y.L. Tian, T. Kanade and J.F. Cohn, "Facial Expression Analysis", in: S.Z. LI, A.K. Jain (eds.): Handbook of Face Recognition, Springer, New York, 2005
17. M.F. Valstar, I. Patras and M. Pantic, "Motion history for facial action detection in video", Proc, IEEE Int'l Conf. Systems Man and Cybernetics, vol 1, pp. 635-640, 2004
18. M.F. Valstar, I. Patras and M. Pantic, "Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data", In CVPR'05, vol.3, pp. 76-84, 2005
19. P. Viola and M. Jones, "Robust real-time object detection", Technical Report CRL 20001/01, Cambridge Research Laboratory, 2001
20. D. Vukadinovic and M. Pantic, "Fully automatic facial feature point detection using gabor feature based boosted classifiers", In SMC'05, pp. 1692-1698, 2005