Share Email Print

Proceedings Paper

Gaussian mixture model for human skin color and its applications in image and video databases
Author(s): Ming-Hsuan Yang; Narendra Ahuja
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper is concerned with estimating a probability density function of human skin color, using a finite Gaussian mixture model, whose parameters are estimated through the EM algorithm. Hawkins' statistical test on the normality and homoscedasticity (common covariance matrix) of the estimated Gaussian mixture models is performed and McLachlan's bootstrap method is used to test the number of components in a mixture. Experimental results show that the estimated Gaussian mixture model fits skin images from a large database. Applications of the estimated density function in image and video databases are presented.

Paper Details

Date Published: 17 December 1998
PDF: 9 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333865
Show Author Affiliations
Ming-Hsuan Yang, Univ. of Illinois/Urbana-Champaign (United States)
Narendra Ahuja, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?