Skin detection using the EM algorithm with spatial constraints

Diplaros, A.; Gevers, T.; Vlassis, Nikos

No full text

Paper published in a book (Scientific congresses, symposiums and conference proceedings)

Skin detection using the EM algorithm with spatial constraints

Diplaros, A.; Gevers, T.; Vlassis, Nikos

2004 • In Proc. Int. Conf. on Systems, Man and Cybernetics

Peer reviewed

Permalink
https://hdl.handle.net/10993/11058

Files (0)Send to Details Statistics Bibliography Similar publications

Files

Full Text

No document available.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Abstract :

[en] In this paper, we propose a color-based method for skin detection and segmentation, which also takes into account the spatial coherence of the skin pixels. We treat the problem of skin detection as an inference problem. We assume that each pixel in an image has a hidden binary label associated with it, that specifies if it is skin or not. In order to solve the inference problem, we use a variational EM algorithm, which incorporates the spatial constraints with just a small computational overhead in the E-step. Finally, we show that our method provides better results than the standard EM algorithm and a state-of-art skin-detection method from the literature of Jones, M. J. and Rehg, J. M. (2002).

Disciplines :

Computer science

Author, co-author :

Diplaros, A.

Gevers, T.

Vlassis, Nikos ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Language :

English

Title :

Skin detection using the EM algorithm with spatial constraints

Publication date :

2004

Event name :

Systems, Man and Cybernetics, 2004 IEEE International Conference on

Event date :

2004

Main work title :

Proc. Int. Conf. on Systems, Man and Cybernetics

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 17 November 2013

Statistics

Number of views

26 (0 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

Bibliography

L. Sigal, S. Sclaroff and V. Athitsos, "Skin Color-Based Video Segmentation under Time-Varying Illumination," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 26(6), 2004.
W. Hafner and O. Munkelt, "Using Color for Detecting Persons in Image Sequences," Pattern Recognition and Image Analysis, vol. 7(1), pp. 47-52, 1997.
Y. Raja, S.J. McKenna and S. Gong, "Tracking and Segmenting People in Varying Lighting Conditions Using Colour," Proc. Int'l Conf. Automatic Face and Gesture Recognition, pp. 228-233, 1998.
A. P. Dempster, N. M. Laird and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc. B, vol. 39, pp. 1-38, 1977.
G. Celeux, F. Forbes and N. Peyrard, "EM procedures using mean field-like approximations for Markov model-based image segmentation," Pattern Recognition, vol. 36, pp. 131-144, 2003.
R. M. Neal and G. E. Hinton, "A view of the EM algorithm that justifies incremental, sparse, and other variants," Learning in graphical models, M. I. Jordan, Ed. Kluwer Academic Publishers, pp. 355-368, 1998.
J. R. J. Nunnink, J. J. Verbeek and N. Vlassis, "Accelerated greedy mixture learning," Proc. Belgian-Dutch Conference on Machine Learning, Jan. 2004.
V. Vezhnevets, V. Sazonov and A. Andreeva, "A Survey on Pixel-Based Skin Color Detection Techniques," Proc. Graphicon-2003, pp. 85-92, 2003.
M. J. Jones and J. M. Rehg, "Statistical Color Models with Application to Skin Detection," Int. Journal of Computer Vision, vol. 46(1), pp. 81-96, 2002.
N. Tsumura, N. Ojima, K. Sato, M. Shiraishi, H. Shimizu, H. Nabeshima, S. Akazaki, K. Hori and Y. Miyake, "Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin," ACM Transactions on Graphics, vol. 22(3), pp. 770-779, 2003. (Proceedings of ACM SIGGRAPH 2003).
J-C. Terrillon, M. David and S. Akamatsu, "Automatic Detection of Human Faces in Natural Scene Images by Use of a Skin Color Model and of Invariant Moments," Proc. of the Third International Conference on Automatic Face and Gesture Recognition, pp. 112-117, 1998.
J-C.Terrillon, M. Shirazi, H. Fukamachi and S. Akamatsu, "Comparative Performance of Different Skin Chrominance Models and Chrominance Spaces for the Automatic Detection of Human Faces in Color Images," Proc. of Forth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 54-61, 2000.
M. Fleck, D. Forsyth and C. Bregler, "Finding Naked People," Proc. of the ECCV'96, 4th European Conference on Computer Vision, pp. 593-602, 1996.
G. Gomez and E. Morales, "Automatic feature construction and a simple rule induction algorithm for skin detection," Proc. of the ICML Workshop on Machine Learning in Computer Vision, pp. 31-38, 2002.
G. Gomez, "On selecting colour components for skin detection," Proc. of the ICPR, vol. 2, pp. 961-964, 2002.