Unsupervised discovery of facial events

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

Volumn , Issue , 2010, Pages 2574-2581

  Zhou, Feng ^a   De La Torre, Fernando ^a   Cohn, Jeffrey F ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FACIAL IMAGE ANALYSIS; COHN-KANADE DATABASE; CORRESPONDENCE ALGORITHM; FACIAL ACTION CODING SYSTEM; FACIAL EXPRESSION RECOGNITION; INTERSYSTEM; KEY COMPONENT; LABELING SCHEME; NATURALLY OCCURRING; RESEARCH PROBLEMS; VIDEO SOURCES;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTER VISION; FACE RECOGNITION; GESTURE RECOGNITION; IMAGE ANALYSIS;

COMPUTER KEYBOARDS;

EID: 77956006920     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539966     Document Type: Conference Paper

References (36)

1. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. Automatic recognition of facial actions in spontaneous expressions. J. Multimedia, 2006.
2. F. Bettinger, T. F. Cootes, and C. J. Taylor. Modelling facial behaviours. In BMVC, 2002.
3. J. F. Cohn, Z. Ambadar, and P. Ekman. Observer-based measurement of facial expression with the Facial Action Coding System. The handbook of emotion elicitation and assessment, 2007.
4. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. In ECCV, 1998.
5. N. Cristianini, J. Taylor, A. Elisseeff, and J. Kandola. On kernel-target alignment. In NIPS, 2002.
6. M. Cuturi, J.-P. Vert, O. Birkenes, and T. Matsui. A kernel for time series based on global alignments. In ICASSP, 2007.
7. F. de la Torre. A unification of component analysis methods. In Handbook of Pattern Recognition and Computer Vision (4th edition), October 2009.
8. F. de la Torre, J. Campoy, Z. Ambadar, and J. Cohn. Temporal segmentation of facial behavior. In ICCV, 2007.
9. F. de la Torre and O. Vinyals. Learning kernel expansions for image classification. In CVPR, 2007.
10. I. S. Dhillon, Y. Guan, and B. Kulis. Weighted graph cuts without eigenvectors: A multilevel approach. PAMI, 29(11):1944-1957, 2007.
11. C. Ding and X. He. k-means clustering via principal component analysis. In ICML, 2004.
12. P. Ekman and W. Friesen. Facial action coding system: A technique for the measurement of facial movement. Consulting Psychologists Press, 1978.
13. I. Essa and A. Pentland. Coding, analysis, interpretation, and recognition of facial expressions. PAMI, 19(7):757-763, 1997.
14. G. Guerra-Filho and Y. Aloimonos. A language for human action. IEEE Computer, 40(5):42-51, 2007.
15. Z. Harchaoui, F. Bach, and E. Moulines. Kernel changepoint analysis. In NIPS, 2009.
16. J. Hoey. Hierarchical unsupervised learning of facial expression categories. In IEEE Workshop on Detection and Recognition of Events in Video, 2001.
17. T. Kanade, Y. li Tian, and J. F. Cohn. Comprehensive database for facial expression analysis. In AFGR, 2000.
18. E. J. Keogh, S. Chu, D. Hart, and M. J. Pazzani. An online algorithm for segmenting time series. In ICDM, 2001.
19. J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In 5-th Berkeley Symposium on Mathematical Statistics and Probability, 1967.
20. I. Matthews and S. Baker. Active appearance models revisited. IJCV, 60(2):135-164, 2004.
21. D. S. Messinger, M. H. Mahoor, S. M. Chow, and J. F. Cohn. Automated measurement of facial expression in infant-mother interaction: A pilot study. Infancy, 14(3):285-305, 2009.
22. J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. IJCV, (79):299-318, 2008.
23. S. M. Oh, J. M. Rehg, T. Balch, and F. Dellaert. Learning and inferring motion patterns using parametric segmental switching linear dynamic systems. IJCV, 77(1-3):103-124, 2008.
24. M. Pantic and I. Patras. Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences. IEEE Trans. Syst. Man. Cybern. B, 36(2):433-449, 2006.
25. W. P. Pierskalla. The multidimensional assignment problem. Oper. Res., 16(2):422-431, 1968.
26. H. Shimodaira, K.-I. Noma, M. Nakai, and S. Sagayama. Dynamic time-alignment kernel in support vector machine. In NIPS, 2001.
27. T. Simon, M. H. Nguyen, F. de la Torre, and J. F. Cohn. Action unit detection with segment-based SVMs. In CVPR, 2010.
28. Y. Tong,W. Liao, and Q. Ji. Facial action unit recognition by exploiting their dynamic and semantic relationships. PAMI, 29(10):1683-1699, 2007.
29. P. Turaga, A. Veeraraghavan, and R. Chellappa. Unsupervised view and rate invariant clustering of video sequences. CVIU, (113):353-371, 2009.
30. Y. Wang, H. Jiang, M. S. Drew, Z.-N. Li, and G. Mori. Unsupervised discovery of action classes. In CVPR, 2006.
31. P. Yin, T. Starner, H. Hamilton, I. Essa, and J. M. Rehg. Learning the basic units in American sign language using discriminative segmental feature selection. In ICASSP, 2009.
32. R. Zass and A. Shashua. A unifying approach to hard and probabilistic clustering. In ICCV, 2005.
33. L. Zelnik-Manor and M. Irani. Event-based analysis of video. In CVPR, 2001.
34. L. Zelnik-Manor and M. Irani. Temporal factorization vs. spatial factorization. In ECCV, 2004.
35. F. Zhou, F. de la Torre, and J. K. Hodgins. Aligned cluster analysis for temporal segmentation of human motion. In AFGR, 2008.
36. F. Zhou, T. Simon, F. de la Torre, and J. F. Cohn. Unsupervised discovery of facial events. In Technical Report TR-10- 10. RI CMU, May 2010.