Chih-Hsien Hsia This email address is being protected from spambots. You need JavaScript enabled to view it.1, Wei-Hsuan Chang2 and Jen-Shiun Chiang2
1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C. 2Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.
Received: April 25, 2011 Accepted: September 26, 2011 Publication Date: June 1, 2012
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.
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