Real-Time Object Recognition System Using Adaptive Resolution Method for Humanoid Robot Vision Development

被引：0

作者：

Hsia, Chih-Hsien ^{[1
]}

Chang, Wei-Hsuan ^{[2
]}

Chiang, Jen-Shiun ^{[2
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan

[2] Tamkang Univ, Dept Elect Engn, Tamsui 251, Taiwan

来源：

JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2012年 / 15卷 / 02期

关键词：

Robot; RoboCup; Adaptive Resolution Method; Object Recognition; Real-Time;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The research of autonomous robots is one of the most important challenges in recent years. Among the numerous robot researches, the humanoid robot soccer competition is very popular. The robot soccer players rely on their vision systems very intensively when they are in the unpredictable and dynamic environments. This work proposes a simple and real-time object recognition system for the RoboCup soccer humanoid league rules of the 2009 competition. This vision system can help the robot to collect various environment information as the terminal data to complete the functions of robot localization, robot tactic, barrier avoiding, etc. It can reduce the computing complexity by using our proposed approach, adaptive resolution method (ARM), to recognize the critical objects in the contest field by object features which can be obtained easily. The experimental results indicate that the proposed approach can increase the real-time and accurate recognition efficiency.

引用

页码：187 / 196

页数：10

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