A hierarchical framework for simultaneous facial activity tracking

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 679-686

  Chen, Jixu ^a   Ji, Qiang ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION TECHNIQUES; DYNAMIC BAYESIAN NETWORK; FACIAL ACTION; FACIAL COMPONENTS; FACIAL EXPRESSIONS; FACIAL FEATURE TRACKING; MULTI-LEVEL; MUSCULAR MOVEMENTS; STOCHASTIC FRAMEWORK;

BAYESIAN NETWORKS; COMPUTER VISION; FACE RECOGNITION; INFERENCE ENGINES;

GESTURE RECOGNITION;

EID: 79958706935     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771330     Document Type: Conference Paper

References (33)

1. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. Recognizing facial expression: machine learning and application to spontaneous behavior. Computer Vision and Pattern Recognition, 2005. IEEE Computer Society Conference on, 2005.
2. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. Automatic recognition of facial actions in spontaneous expressions. Journal of Multimedia, 2006.
3. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. http://mplab.ucsd.edu/grants/project1/research/fully-auto-facs-coding. html, 2007.
4. J. Bazzo and M. Lamar. Recognizing facial actions using gabor wavelets with neutral face average difference. Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on, 2004.
5. F. Bourel, C. C. Chibelushi, and A. A. Low. Robust facial feature tracking. Proc. British Machine Vision Conference, 2000.
6. J. M. Buenaposada, E. Munoz, and L. Baumela. Recognising facial expressions in video sequences. Pattern Analysis and Application, 11(1):101-116, 2008.
7. I. Cohen, N. Sebe, Ashutosh, L. S. C. Garg, and T. S. Huang. Facial expression recognition from video sequences: temporal and static modeling. Computer Vision and Image Understanding, 91(1-2):160-187, 2003.
8. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance model. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2001.
9. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Active shape models-their training and application. Comput. Vis. Image Underst., 1995.
10. G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman, and T. J. Sejnowski. Classifying facial actions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21:974-989, 1999. (Pubitemid 129304131)
11. F. Dornaika and F. Davoine. Simultaneous facial action tracking and expression recognition in the presence of head motion. International Journal of Computer Vision (IJCV), 76, 2008.
12. P. Ekman and W. V. Friesen. Facial Action Coding System (FACS): Manual. Consulting Psychologists Press, 1978.
13. T. Kanade, J. Cohn, and Y.-L. Tian. Comprehensive database for facial expression analysis. In Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000.
14. A. Kapoor, Y. Qi, and R. W. Picard. Fully automatic upper facial action recognition. In IEEE International Workshop on Analysis and Modeling of Faces and Gestures, (AMFG), 2003.
15. S. Kumano, K. Otsuka, J. Yamato, E. Maeda, and Y. Sato. Poseinvariant facial expression recognition using variable-intensity templates. International Journal of Computer Vision (IJCV), 83(2):178-194, 2009.
16. J.-J. J. Lien, T. Kanade, J. Cohn, and C. Li. Detection, tracking, and classification of action units in facial expression. Journal of Robotics and Autonomous Systems, 1999.
17. K. Murphy. Inference and learning in hybrid bayesian networks. Report No. UCBCSD-98-990,Computer Science Department, U.C.Berkeley, 1998.
18. K. Murphy. Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, UC Berkeley,Computer Science Division, 2002.
19. V. Pavlovic, J. M. Rehg, and J. Maccormick. Learning switching linear models of human motion. In NIPS, 2000.
20. J. Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, 1988.
21. K. Schwerdt and J. L. Crowley. Robust face tracking using color. In 4th IEEE International Conference on Automatic Face and Gesture Recognition, 2000.
22. C. Shan, S. Gong, and P. W.MacOwan. Dynamic facial expression recognition using a bayesian temporal manifold model. Proc. British Machine Vision Conference, 2006.
23. Y.-I. Tian, T. Kanade, and J. Cohn. Recognizing action units for facial expression analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2001.
24. C. Tomasi and T. Kanade. Detection and tracking of point features. Carnegie Mellon University Technical Report CMU-CS-91-132, 1991.
25. Y. Tong, J. Chen, and Q. Ji. A unified probabilistic framework for spontaneous facial action modeling and understanding. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2010.
26. Y. Tong, W. Liao, and Q. Ji. Facial action unit recognition by exploiting their dynamic and semantic relationships. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2007.
27. Y. Tong, W. Liao, Z. Xue, and Q. Ji. A unified probabilistic framework for spontaneous facial activity modeling and understanding. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
28. Y. Tong, Y. Wang, Z. Zhu, and Q. Ji. Robust facial feature tracking under varying face pose and facial expression. Pattern Recogn., 2007.
29. L. Wiskott, J.-M. Fellous, N. Krger, and C. von der Malsburg. Active appearance model. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1997.
30. P. Yang, Q. Liu, X. Cui, and D. N.Metaxas. Facial expression recognition using encoded dynamic features. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
31. Y. Zhang and Q. Ji. Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27(5), 2005.
32. G. Zhao and M. Pietikainen. Dynamic texture recognition using local binary patterns with an application to facial expressions. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(6):915-928, 2007. (Pubitemid 46667407)
33. S. Zhou, V. Krueger, and R. Chellappa. Probabilistic recognition of human faces from video. Computer Vision and Image Understanding, 2003.