Fast segmentation and identification in vision system for soccer robots

Author

He, Chao ; Xiong, Rong ; Dai, Lian-kui

Author_Institution

Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

Volume

1

fYear

2002

fDate

2002

Firstpage

532

Abstract

Real-time segmentation is important in the color-vision system on the robot system such as soccer robot. This paper introduced a color image segmentation method using improved seed-fill algorithm in YUV color space. The new method dramatically reduces the work of calculation, and speed up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper. The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.

Keywords

games of skill; identification; image segmentation; mobile robots; multi-robot systems; real-time systems; robot vision; sport; MiroSot Soccer Robot System; YUV color space; color image segmentation method; color-vision system; identification; real-time image segmentation; robot football; robot soccer; seed-fill algorithm; soccer robot vision system; Chaos; Helium; Image processing; Image segmentation; Machine vision; Orbital robotics; Robot vision systems; Robotics and automation; Service robots; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1022167

Filename

1022167