Subclass linear discriminant analysis for video-based face recognition

Journal of Visual Communication and Image Representation

Volumn 20, Issue 8, 2009, Pages 543-551

  Pnevmatikakis, Aristodemos ^a   Polymenakos, Lazaros ^a  

^a ATHENS INFORMATION TECHNOLOGY   (Greece)

Author keywords

Facial image processing; Subclass linear discriminant analysis; Video based face recognition

Indexed keywords

AUTOMATIC GENERATION; CLASSIFICATION ,; CLASSIFICATION ACCURACY; DATA SETS; DECISION FUSION; FACE RECOGNITION SYSTEMS; FACIAL IMAGE PROCESSING; FAR-FIELD; FEATURE EXTRACTION ALGORITHMS; ILLUMINATION CHANGES; LINEAR DISCRIMINANT ANALYSIS; LOW QUALITIES; RECOGNITION RATES; SUBCLASS LINEAR DISCRIMINANT ANALYSIS; VIDEO STREAMS; VIDEO-BASED FACE RECOGNITION; VISUAL APPEARANCE;

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; IMAGE RETRIEVAL; IMAGING SYSTEMS; VISUALIZATION;

FACE RECOGNITION;

EID: 70350230380     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2009.08.001     Document Type: Article

References (28)

1. G. Aggarwal, A.K.R. Chowdhury, R. Chellappa, A system identification approach for video-based face recognition, in: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004), vol. 4, Cambridge, UK, August 2004, pp. 175-178.
2. Baudat G., and Anouar F. Generalized discriminant analysis using a kernel approach. Neural Comput. 12 10 (2000) 2385-2404
3. CLEAR07, Available from: , 2007.
4. H.K. Ekenel, Q. Jin, M. Fischer, ISL person identification systems in the clear 2007 evaluations, in: CLEAR'07 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships, Baltimore, USA, May 2007, pp. 256-265.
5. Fukunaga K. Statistical Pattern Recognition (1990), Academic Press, New York
6. Gorodnichy D.O. Facial recognition in video. In: Kittler J., and Nixon M.S. (Eds). Proceedings of the Fourth International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA 2003). Lecture Notes in Computer Science vol. 2688 (2003), Springer, Berlin 505-514
7. Hastie T., and Tibshirani R. Discriminant analysis by Gaussian mixtures. J. Roy. Stat. Soc. Ser. B 58 (1996) 158-176. http://citeseer.ist.psu.edu/article/hastie96discriminant.html Available from:
8. Kittler J., Hatef M., Duin R.P.W., and Matas J. On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20 3 (1998) 226-239
9. K.-C. Lee, J. Ho, M.-H. Yang, D.J. Kriegman, Video-based face recognition using probabilistic appearance manifolds, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2003), vol. 1, Madison, USA, June 2003, pp. 313-320.
10. S.Z. Li, L. Zhang, S. Liao, X. Zhu, R. Chu, M. Ao, R. He, A near-infrared image based face recognition system, in: Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG 2006), Southampton, UK, April 2006, pp. 455-460.
11. Y. Li, S. Gong, H.M. Liddell, Video-based online face recognition using identity surfaces, in: Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 2001, pp. 40-46.
12. X. Liu, T. Chen, Video-based face recognition using adaptive hidden markov models, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2003), vol. 1, Madison, USA, June 2003, pp. 340-345.
13. Martínez A.M., and Kak A.C. PCA versus LDA. IEEE Trans. Pattern Anal. Mach. Intell. 23 2 (2001) 228-233
14. MBGC. Available from: , 2008.
15. Moghaddam B. Principal manifolds and probabilistic subspaces for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24 6 (2002) 780-788
16. Mostefa D., Moreau N., Choukri K., Potamianos G., Chu S.M., Tyagi A., Casas J.R., Turmo J., Cristoforetti L., Tobia F., Pnevmatikakis A., Mylonakis V., Talantzis F., Burger S., Stiefelhagenand R., Bernardin K., and Rochet C. The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms. Lang. Resour. Eval. 41 3 (2007) 389-407
17. P.J. Phillips, P.J. Flynn, W.T. Scruggs, K.W. Bowyer, W.J. Worek, Preliminary face recognition grand challenge results, in: Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG 2006), Southampton, UK, April 2006, pp. 15-24.
18. Pnevmatikakis A., and Polymenakos L. Far-field multi-camera video-to-video face recognition. In: Delac K., and Grgic M. (Eds). Face Recognition (2007), I-Tech Education and Publishing 467-486
19. Raytchev B., and Murase H. Unsupervised recognition of multi-view face sequences based on pairwise clustering with attraction and repulsion. Comput. Vis. Image Understand. 91 1-2 (2003) 22-52
20. Stiefelhagen R., Bernardin K., Bowers R., Garofolo J.S., Mostefa D., and Soundararajan P. The CLEAR 2006 evaluation. In: Stiefelhagen R., and Garofolo J.S. (Eds). Multimodal Technologies for Perception of Humans: First International Evaluation Workshop on Classification of Events, Activities and Relationships. Lecture Notes in Computer Science vol. 4122 (2007), Springer, Berlin 1-44
21. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991)
22. A. Waibel, H. Steusloff, R. Stiefelhagen, CHIL: computers in the human interaction loop, in: Proceedings of the Fifth International Workshop on Image Analysis for Multimedia Interactive Services, Lisboa, Portugal, April 2004, pp. 175-178.
23. Ward J. Hierarchical groupings to optimize an objective function. J. Am. Stat. Assoc. 58 (1963) 234-244
24. J. Weng, C.H. Evans, W.-S. Hwang, An incremental learning method for face recognition under continuous video stream, in: Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), Grenoble, France, March 2000, pp. 251-256.
25. Xie C., Kumar B.V.K.V., Palanivel S., and Yegnanarayana B. A still-to-video face verification system using advanced correlation filters. In: Zhang D., and Jain A.K. (Eds). First International Conference on Biometric Authentication (ICBA). Lecture Notes in Computer Science vol. 3072 (2004), Springer, Berlin 102-108
26. Zhang B., and Srihari S.N. Fast k-nearest neighbor classification using cluster-based trees. IEEE Trans. Pattern Anal. Mach. Intell. 26 4 (2004) 525-528
27. Zhou S.K., Chellappa R., and Moghaddam B. Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans. Image Process. 13 11 (2004) 1491-1506
28. Zhu M., and Martínez A.M. Subclass discriminant analysis. IEEE Trans. Pattern Anal. Mach. Intell. 28 8 (2006) 1274-1286