New Probability Models for Face Detection and Tracking in Color Images

Author

Flores, Marco J. ; Armingol, José M. ; De la Escalera, Arturo

Author_Institution

Univ. Carlos III de Madrid, Madrid

fYear

2007

fDate

3-5 Oct. 2007

Firstpage

1

Lastpage

6

Abstract

This paper presents a skin-color model and an automatic face detection system on color images. Three probability distribution functions are proposed to model the skin color: flexible generalized skew-normal distribution, skew generalized normal distribution and Gaussian mixture model, over three color spaces: CbCr, HS and H. The best model is chosen to build a system for detection and tracking face, using color information. The algorithm has been tested on several sequences of color images.

Keywords

Gaussian distribution; face recognition; image colour analysis; image sequences; normal distribution; optical tracking; Gaussian mixture model; color image; face detection; face tracking; image sequence; probability distribution function; skew generalized normal distribution; Automation; Face detection; Gaussian distribution; Image color analysis; Intelligent systems; Lighting; Probability distribution; Skin; Systems engineering and theory; Testing; face detection; flexible; skew-normal; skin color;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on

Conference_Location

Alcala de Henares

Print_ISBN

978-1-4244-0829-0

Electronic_ISBN

978-1-4244-0830-6

Type

conf

DOI

10.1109/WISP.2007.4447551

Filename

4447551