Facial action coding using multiple visual cues and a hierarchy of particle filters

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

Volumn 2006, Issue , 2006, Pages 150-155

  McCall, Joel C ^a   Trivedi, Mohan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DIGITAL FILTERS; IMAGE CODING; PROBABILISTIC LOGICS; ROBUSTNESS (CONTROL SYSTEMS); TRACKING (POSITION);

FACIAL ACTION CODES; NON-RIGID FACIAL LANDMARKS; PARTICLE FILTERS;

FACE RECOGNITION;

EID: 33845524025     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.77     Document Type: Conference Paper

References (29)

1. J. N. Bassili. Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face. Journal of Personality and Social Psychology, 37:2049-2059, 1979.
2. M. J. Black and Y. Yacoob. Recognizing facial expressions in image sequences using local parameterized models of image motion. International Journal of Computer Vision, 25(1):23-48, 1997.
3. J.-Y. Bouguet. Camera calibration toolbox for matlab.
4. P. Domingos and M. Pazzani. Beyond independence: Conditions for the optimality of the simple bayesian classifier. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 105-112, 1996.
5. R. Duda, P. Hart, and D. Stork. Pattern Classification (Second ed.). John Wiley & Sons, Inc., New York, 2000.
6. M. Dumas. Emotional expression recognition using support vector machines. Technical report, Machine Perception Lab, Univeristy of California, San Diego, 2001.
7. P. Ekman. Expressions of emotion: An old controversy and new findings. Philosophical Transactions of the Royal Society of London, Series B, 335(1273):63-69, 1992.
8. P. Ekman and W. V. Preisen. The facial action coding system: A technique for measurement of facial movement, 1978.
9. I. A. Essa and A. Pentland. Facial expression recognition using a dynamic model and motion energy. In Proceedings of the International Conference on Computer Vision, pages 360-367, 1995.
10. I. A. Essa and A. Pentland. Coding, analysis, interpretation and recognition of facial expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7), July 1997.
11. B. Fasel and J. Luettin. Automatic Facial Expression Analysis: A Survey. Pattern Recognition, 36(1):259-275, 2003.
12. I. Fasel, B. Fortenberry, and J. Movellan. A generative framework for real time object detection and classification. Computer Vision and Image Understanding, 98:182-210, 2005.
13. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In Proceedings of the Second European Conference on Computational. Learning Theory, 1995.
14. H. Hong, H. Neven, and C. von der Malsburg. Online facial expression recognition based on personal galleries. In Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998.
15. M. Isard and A. Blake. Condensation - conditional density propogation for visual tracking. International Journal of Computer Vision, 29(1):5-28, 1998.
16. Q. Ji and X. Yang. Real time visual cues extraction for monitoring driver vigilance. Lecture Notes in Computer Science: Computer Vision Systems, 2095:107-124, 2003.
17. T. Kanade, J. F. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition, pages 46-53, March 2000.
18. 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, July 1999.
19. J. Lim and M.-H. Yang. A direct method for modeling non-rigid motion with thin plate spline. In Proceedings of the IEEE Conference on Computer Vision and Patern Recognition, pages 1196-1202, 2005.
20. C. Lisetti and D. Rumelhart. Facial expression recognition using a neural network. In Proceedings of the 11th International Flairs Conference. AAAI Press, 1998.
21. I. Matthews and S. Baker. Active appearance models revisited. International Journal of Computer Vision, 60(2):135-164, 2004.
22. J. McCall and M. M. Trivedi. Pose invariant affect analysis using thin-plate splines. In Proceedings of International Conference on Pattern Recognition, pages 958-964, August 2004.
23. K. Okuma, A. Taleghani, N. de Freitas, J. J. Little, and D. G. Lowe. A boosted particle filter: Multitarget detection and tracking. Lecture Notes in Computer Science: Proceedings of the 8th European Conference on Computer Vision, 3021:28-39, 2004.
24. P. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing, 16(5):295-306, 1998.
25. Y. Rui and Y. Chen. Better proposal distributions: Object tracking using unscented particle filter. In Proceedings of the IEEE Conference on Computer Vision and Patern Recognition, pages 786-793, 2001.
26. H. Schneiderman and T. Kanade. Probabilistic modeling of local appearance and spatial relationships for object recognition. In Proceedings of the IEEE Conference on Computer Vision and Patern Recognition, pages 45-51, 1998.
27. C. Su, Y. Zhuang, L. Huang, and F. Wu. A two-step approach to mulitple facial feature tracking: Temporal particle filter and spatial belief propogation. In Proceedings of the IEEE International. Conference on Automatic Face and Gesture. Recognition, 2004.
28. Y.-L. Tian, T. Kanade, and J. F. Cohn. Recognizing action units for facial expression analysis, pages 32-66. World Scientific Publishing Co., Inc., River Edge, NJ, USA, 2002.
29. P. Viola and M. Jones. Robust real-time object detection. International Journal of Computer Vision, 2002.