Research on Color Feature Selection Using Genetic Algorithm in Robot Soccer

摘要：

Feature selection is a hot topic in the field of pattern recognition. In this paper, we present a new feature selection algorithm which is used on the soccer robot MT-R for the ball recognition. The illumination invariant color feature set is defined based on the dichromatic reflection. By means of genetic algorithm we determine the most discriminating color feature subset Experimental results show that the proposed color feature subset achieves high object recognition accuracy.

关键词： robot soccer feature selection genetic algorithm feature subsets

作者: Xin Luan Ming Chen Zheng-Yuan Sun Da-Lei Song Lei-Hua Ge Li Wang

作者单位: College of Information Science and Engineering Ocean University of China Qingdao,China College of Engineering Ocean University of China Qingdao,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 486-489

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）