Face tracking and facial feature detection with a webcam

IET Conference Publications

Volumn , Issue 516 CP, 2006, Pages 122-126

  Belaroussi, R ^a   Milgram, M ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Backprojection; Face tracking; Facial features

Indexed keywords

BACKPROJECTION; CENTRAL SYMMETRY; COMPLETE SYSTEM; FACE DETECTOR; FACE TRACKING; FACIAL FEATURE; FACIAL FEATURE DETECTION; FACIAL FEATURES; FACIAL LANDMARK; MULTIPLE FACES TRACKING; SKIN COLOR DISTRIBUTION; STRUCTURAL APPROACH;

COLOR; DETECTORS; EDGE DETECTION; HOUGH TRANSFORMS; SKIN;

FACE RECOGNITION;

EID: 67649713954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20061933     Document Type: Conference Paper

References (26)

1. M.-H Yang, D. Kriegman, and N. Ahuja. Detecting faces in images: a survey. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 34-58, Jan. 2002.
2. R.Choudhury Verma, C.Schmid and K. Mikolajczyk. Face detection and tracking in a video by propagating detection probabilities.IEEE Trans. Pattern Analysis and Machine Intelligence, vol.25, no 10, Oct. 2003.
3. J. Ruiz-del-Solar, A. Shats, R. Verschae, "Real-Time Tracking of Multiple Persons," iciap, p. 109, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003.
4. P. Campadelli, R. Lanzarotti, G. Lipori, and E. Salvi. Face and Facial Feature Localization.ICIAP 2005: 1002-1009.
5. K. Messer, J. Matas, J. Kittler, J. Luettin and G. Maitre. XM2VTSDB: The Extended M2VTS Database. Proc. Second International Conf. on Audio- and Video-based Biometric Person Authentication, 1999, pp. 72-77.
6. J. Dowdall, I. Pavlidis and G.N. Bebis. Face Detection in the Near-IR Spectrum.Image and Vision Computing, vol.21, no 7, July 2003, pp. 565-578.
7. C.K. Eveland, D.A. Socolinsky and L.B. Wolff. Tracking uman Faces in Infrared Video.Image and Vision Computing, vol.21, no 7, July 2003, pp. 579-590.
8. M.C. Burl, M. Weber and P. Perona. A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry, Proc. European Conf. on Computer Vision, Vol. 2, pp. 628-642, 1998.
9. P. Felzenschwab and D. Huttenlocher. Efficient matching of pictorial structures. In IEEE Conf. on Computer Vision and Pattern Recognition, 2000.
10. S. M. Bileschi, B. Heisele. Advances in Component Based Face Detection. AMFG p. 149, IEEE International Workshop on Analysis and Modeling of Faces and Gestures, 2003.
11. C. Garcia and M. Delakis. Convolutional face finder: a neural architecture for fast and robust face detection. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 11, Nov. 2004.
12. H. Rowley, S. Baluja and T. Kanade. Neural networkbased face detection. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 23-38, Jan. 1998.
13. R. Féraud, O. Bernier, J. Viallet, and M. Collobert. A fast and accurate face detector based on neural networks.IEEE Trans.Pattern Analysis and Machine Intelligence, vol. 23, no. 1, pp. 42-53, 2002.
14. P. Viola, M.J. Jones, Rapid Object Detection using a Boosted Cascade of Simple Features. CVPR (1) 2001: 511-518
15. K.K. Sung and T. Poggio. Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, v.20 n.1, p.39-51, January 1998.
16. R. Séguier. A very fast adaptive face detection system.International Conference on Visualization, Imaging, and Image Processing 2004.
17. Bo Wu, Haizhou AI, Chang Huang, Shihong Lao. Fast Rotation Invariant Multi-View Face Detection Based on Real Adaboost. fgr, p. 79, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004
18. H. Schneiderman and T. Kanade. A Statistical Method for 3D Object Detection Applied to Faces and Cars. cvpr, p. 1746, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) -Volume 1, 2000.
19. M.J. Jones and P. Viola. Fast Multi-view Face Detection.Proc. Of Computer Vision Pattern Recognition, 2003.
20. S.Z. Li and Z.Q. Zhang. Floatboost Learning and Statistical Face Detection.IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp. 1112-1123, 2004.
21. J-B. Kim, S-C Kee and J-Y Kim. Fast Detection of Multi-View Face and Eye Based on Cascaded Classifier.IAPR Conference on Machine Vision Application, MVA 2005.
22. R. Lienhart and J. Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. Proc. of International Conference on Image Processing, 2002.
23. K. Schwerdt and J.L. Crowley. Robust face tracking using color. Proc. International Conf. on Automatic Face and Gesture Recognition, pp. 90--95, 2000.
24. D.Reisfeld and T.Yeshuran. Robust detection of facial features by generalized symmetry.Proc.11th Int.Conf.on Pattern Recognition, 1992, p.117-102
25. Y.Freund and R. E. Schapire. Experiments with a new boosting algorithm.Proc. of the Thirteenth International Conference In Machine Learning, p.148-156, 1996.
26. A.W. Fitzgibbon, M. Pilu and R.B. Fisher, Direct leastsquares fitting of ellipses.IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(5), 476--480, May 1999.