中国海洋大学学报（自然科学版）2011，Vol.41Issue(6)：109-114,6.
一种鲁棒的基于全景视觉的足球机器人目标识别方法
Robust Method of Target Recognition for Soccer Robot Based on Omni-Directional Vision
戚玮玮 1栾新 1宋大雷 2张玲 2于方杰1
作者信息
- 1. 中国海洋大学,信息科学与工程学院,山东,青岛,266100
- 2. 中国海洋大学,工程学院,山东,青岛,266100
- 折叠
摘要
Abstract
It is a difficult problem for autonomous soccer robot to recognize similar color targets because of the illumination changes and the omni-directional vision distortion. A robust method of objects recognition for autonomous soccer robot based on Gabor filters and support vector machine is proposed. Firstly,candidate targets are extracted based on color threshold and simple shape features. Then, images containing candidate targets are convoluted with the Gabor filter, from which the feature vector is extracted.The target recognition is performed by the support vector machine. Experiments have been carried out on the soccer robot M-TR for the ball recognition. Experimental results prove the high target recognition accuracy and real-time performance of the proposed method.关键词
足球机器人/目标识别/Gabor滤波器/支持向量机Key words
soccer robot/ target recognition/ Gabor filter/ support vector machine分类
信息技术与安全科学引用本文复制引用
戚玮玮,栾新,宋大雷,张玲,于方杰..一种鲁棒的基于全景视觉的足球机器人目标识别方法[J].中国海洋大学学报（自然科学版）,2011,41(6):109-114,6.
