A multi-modal system for tracking and analyzing faces on a mobile robot

被引：30

作者：

Wilhelm, T ^{[1
]}

Böhme, H ^{[1
]}

Gross, HM ^{[1
]}

机构：

[1] Tech Univ Ilmenau, Dept Neuroinformat, D-98684 Ilmenau, Germany

来源：

ROBOTICS AND AUTONOMOUS SYSTEMS | 2004年 / 48卷 / 01期

关键词：

man-machine-interface; user tracking; color correction;

D O I：

10.1016/j.robot.2004.05.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a user detection system which employs a saliency system working on an omnidirectional camera delivering a rough and fast estimate of the position of a potential user. It consists of a vision (skin color) and a sonar based component, which are combined to make the estimate more reliable. To make the skin color detection robust under varying illumination conditions, it is supplied with an automatic white balance algorithm. The active vision head looks continuously in the direction of the salient region. Thus, a high resolution image can be grabbed and analyzed with a face detector. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：31 / 40

页数：10

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