New probability models for face detection and tracking in color images

被引：0

作者：

Flores, Marco J. ^{[1
]}

Armingol, Jose M. ^{[1
]}

de la Escalera, Arturo ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Dept Syst Engn & Automat, Intelligent Syst Lab, Madrid, Spain

来源：

2007 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, CONFERENCE PROCEEDINGS BOOK | 2007年

关键词：

skin color; face detection; skew-normal; flexible generalized; Kalman filter;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：871 / 876

页数：6

共 18 条

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