Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Leonid Sigal Articles by Stan Sclaroff Articles by Vassilis Athitsos

2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2

Hilton Head, South Carolina

June 13-June 15

ISBN: 0-7695-0662-3

	ASCII Text	x
	Leonid Sigal, Stan Sclaroff, Vassilis Athitsos, "Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 2152, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/CVPR.2000.854764, author = {Leonid Sigal and Stan Sclaroff and Vassilis Athitsos}, title = {Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {2}, year = {2000}, issn = {1063-6919}, pages = {2152}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854764}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination SN - 1063-6919 SP EP A1 - Leonid Sigal, A1 - Stan Sclaroff, A1 - Vassilis Athitsos, PY - 2000 VL - 2 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Leonid Sigal, Boston University

Stan Sclaroff, Boston University

Vassilis Athitsos, Boston University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854764

A novel approach for real-time skin segmentation in video sequences is described. The approach enables reliable skin segmentation despite wide variation in illumination during tracking. An explicit second order Markov model is used to predict evolution of the skin color (HSV) histogram over time. Histograms are dynamically updated based on feedback from the current segmentation and based on predictions of the Markov model. Translation, scaling and rotation in color space parameterize the evolution of the skin color distribution at each frame. Warping and re-sampling the histogram propagate consequent changes in geometric parameterization of the distribution. The parameters of the discrete-time dynamic Markov model are estimated using Maximum Likelihood Estimation, and evolve over time. Quantitative evaluation of the method was conducted on labeled ground-truth video sequences taken from popular movies.

Citation:

Leonid Sigal, Stan Sclaroff, Vassilis Athitsos, "Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination," cvpr, vol. 2, pp.2152, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2, 2000

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.