Bayesian approach to skin color classification in YCbCr color space

Douglas Chai; Abdesselam Bouzerdoum

Bayesian approach to skin color classification in YCbCr color space

Douglas Chai^*, Abdesselam Bouzerdoum

^*Corresponding author for this work

Edith Cowan University

Research output: Contribution to conference › Paper › peer-review

194 Citations (Scopus)

Abstract

This paper addresses an image classification technique that uses the Bayes decision rule for minimum cost to classify pixels into skin color and non-skin color. Color statistics are collected from YCbCr color space. The Bayesian approach to skin color classification is discussed along with an overview of YCbCr color space. Experimental results demonstrate that this approach can achieve good classification outcomes, and it is robust against different skin colors.

Original language	English
Pages	II-421-II-424
Publication status	Published - 2000
Externally published	Yes
Event	2000 TENCON Proceedings - Kuala Lumpur, Malaysia Duration: 24 Sept 2000 → 27 Sept 2000

Conference

Conference	2000 TENCON Proceedings
City	Kuala Lumpur, Malaysia
Period	24/09/00 → 27/09/00

Cite this

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title = "Bayesian approach to skin color classification in YCbCr color space",

abstract = "This paper addresses an image classification technique that uses the Bayes decision rule for minimum cost to classify pixels into skin color and non-skin color. Color statistics are collected from YCbCr color space. The Bayesian approach to skin color classification is discussed along with an overview of YCbCr color space. Experimental results demonstrate that this approach can achieve good classification outcomes, and it is robust against different skin colors.",

author = "Douglas Chai and Abdesselam Bouzerdoum",

year = "2000",

language = "English",

pages = "II--421--II--424",

note = "2000 TENCON Proceedings ; Conference date: 24-09-2000 Through 27-09-2000",

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TY - CONF

T1 - Bayesian approach to skin color classification in YCbCr color space

AU - Chai, Douglas

AU - Bouzerdoum, Abdesselam

PY - 2000

Y1 - 2000

N2 - This paper addresses an image classification technique that uses the Bayes decision rule for minimum cost to classify pixels into skin color and non-skin color. Color statistics are collected from YCbCr color space. The Bayesian approach to skin color classification is discussed along with an overview of YCbCr color space. Experimental results demonstrate that this approach can achieve good classification outcomes, and it is robust against different skin colors.

AB - This paper addresses an image classification technique that uses the Bayes decision rule for minimum cost to classify pixels into skin color and non-skin color. Color statistics are collected from YCbCr color space. The Bayesian approach to skin color classification is discussed along with an overview of YCbCr color space. Experimental results demonstrate that this approach can achieve good classification outcomes, and it is robust against different skin colors.

UR - https://www.scopus.com/pages/publications/0034428054

M3 - Paper

AN - SCOPUS:0034428054

SP - II-421-II-424

T2 - 2000 TENCON Proceedings

Y2 - 24 September 2000 through 27 September 2000

ER -

Bayesian approach to skin color classification in YCbCr color space

Abstract

Conference

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