Welcome to IEEE Xplore 2.0: Color vision for RoboCup with fast lookup tables

Cart | Sitemap | Help

Abstract


	BROWSE	SEARCH	IEEE XPLORE GUIDE	SUPPORT

View TOC

Color vision for RoboCup with fast lookup tables
McNaughton, M. Hong Zhang
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada;

This paper appears in: Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Publication Date: 8-13 Oct. 2003
Volume: 1, On page(s): 399- 404 vol.1
ISSN:
ISBN: 0-7803-7925-X
INSPEC Accession Number: 8046933
Digital Object Identifier: 10.1109/RISSP.2003.1285607
Current Version Published: 2004-04-19

Abstract
The small-size league of the RoboCup robot soccer competition requires a machine vision system capable of tracking and locating up to 11 objects in high-resolution color images at video frame rates. The problem is eased by the restriction that all objects are marked with solid color patches. This paper describes a high speed color vision processing system with distortion correction used by Team Canuck of the University of Alberta to compete in RoboCup 2002. We specifically focus on how color classification is performed adaptively and efficiently for real-time robot soccer, using fast look-up tables defined in color subspaces.

Index Terms
Available to subscribers and IEEE members.

References
Available to subscribers and IEEE members.

Citing Documents
Available to subscribers and IEEE members.

You are not logged in.

Guests may access Abstract records free of charge.