Confidence fusion based emotion recognition of multiple persons for human-robot interaction

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 4590-4595

  Luo, Ren C ^a   Lin, Pei Hsien ^a   Chang, Li Wen ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EMOTION RECOGNITION; FACIAL EXPRESSIONS; HUMAN BEING; INTEGRATED SYSTEMS; MULTIPLE PEOPLE;

INTELLIGENT SYSTEMS;

FACE RECOGNITION;

EID: 84872314887     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386178     Document Type: Conference Paper

References (15)

1. Y. Tian, T. Kanade, and J. Cohn, "Recognizing action units for facial expression analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, pp. 97-115, 2001.
2. M.S. Bartlett, G. Littlewort, I. Fasel, and R. Movellan, "Real time face detection and facial expression recognition: Development and application to human computer interaction," in Computer Vision and Pattern Recognition Workshop, vol. 5, 2003, pp. 53.
3. T. F. Cootes, G. J. Edwards, C. J. Taylor ,"Active Appearance Models ", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 681-685, Jun. 2001.
4. P. Michel and R. El Kaliouby, "Real-time facial expression recognition in video using Support Vector Machines," in Proc. of Int. Conf. on Multimodal Interfaces, Vancouver, British Columbia, Canada, 2003.
5. C. Shan, S. Gong, and P. McOwan, "Dynamic facial expression recognition using a bayesian temporal manifold model," in Proc. of British Machine Vision Conference, vol. I, Edinburgh, UK, 2006, pp. 297-306.
6. T. Xiang, M. Leung, and S. Cho, "Expression recognition using fuzzy spatio-temporal modeling," Pattern Recognition, vol. 41, no. 1, pp. 204-216, Jan. 2008.
7. Y. Chang, C. Hu, and M. Turk, "Probabilistic expression analysis on manifolds," in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Washington, USA, pp. 520-527.
8. A.Elgammal, C.Lee, "Separating style and content on a nonlinear rmanifold," in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2004, pp. 520-527.
9. I. Matthews, S. Baker, "Active appearance models revisited," International Journal of Computer Vision, vol. 60, no. 2, pp. 135-164, 2004.
10. Yeongjae Cheon and Daijin Kim, "Natural facial expression recognition using differential-AAM and manifold learning", Pattern Recognition, vol. 42, no. 7, pp. 1340-1350, Jul. 2009
11. J. Tenenbaum, V. Silva, J. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
12. Luo, R.C, Huang, C.Y, Lin, P.H, "Alignment and tracking of facial features with component-based active appearance models and optical flow," in Proc. of 2011 IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Jul. 2011, pp. 1058-1063.
13. P. Viola, M. Jones, "Robust Real-Time Face Detection", International Journal of Computer Vision, vol. 57, no. 2, pp. 137-154, 2004.
14. T. Kanade, J. Cohn, and Y. Tian, "Comprehensive database for facial expression analysis," in Proc. IEEE Intl. Conf. on Automatic Face and Gesture Recognition, Grenoble, France, Mar. 2000, pp. 46-53.
15. Lucey, P, Cohn, J. F, Kanade, T, Saragih, J, Ambadar, Z, Matthews, I, "The Extended Cohn-Kanade Dataset (CK+): A complete expression dataset for action unit and emotion-specified expression," in Proc. of 3rd Int. Workshop on CVPR for Human Communicative Behavior Analysis, San Francisco, USA, 2010, pp. 94-101.