Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

Engineering and Mathematics

RAS ID

2048

Comments

This conference paper was originally published as: Chai, D. K., Phung, S. L., & Bouzerdoum, A. (2001). Skin color detection for face localization in human-machine communications. Proceedings of 6th Internatrional Symposium on Signal Processing and its Applications. (pp. 343 - 346 vol.1). Malaysia. IEEE. Original article available here

© 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

This paper presents the proposed user interface design for computers whereby users can navigate in a 3D graphics scene and change camera viewpoint via head movement. This human-machine communication relies very much on the performance of its face localization module, which must determine head pose and track head movement. We have employed the skin color detection approach to face localization. The approach is studied and presented. The experimental results show that our chosen methodology is very effective. Furthermore, we demonstrate that skin color detection approach can cope with the variations of skin color and lighting conditions

DOI

10.1109/ISSPA.2001.949848

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Link to publisher version (DOI)

10.1109/ISSPA.2001.949848