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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/81362

    Title: A Real-Time Object Recognition System Using Adaptive Resolution Method for Humanoid Robot Vision Development
    Authors: Hsia, Chih-Hsien;Chang, Wei-Hsuan;Chiang, Jen-Shiun
    Contributors: 淡江大學電機工程學系
    Keywords: Robot;RoboCup;Adaptive Resolution Method;Object Recognition;Real-Time
    Date: 2012-06-01
    Issue Date: 2013-03-11 13:36:12 (UTC+8)
    Publisher: 新北市:淡江大學
    Abstract: 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.
    Relation: Journal of Applied Science and Engineering 15(2), pp.187-196
    DOI: 10.6180/jase.2012.15.2.12
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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