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A global vision system: using hue thresholds to exact feature and recognize 被引量:1

A global vision system: using hue thresholds to exact feature and recognize
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摘要 The fast paced nature of robotic soccer necessitates real time sensing coupled with quick behaving and decision making. In the field with real robots, it is important to well perceive the location of ball, team robots and opponent robots through the vision system in real time. In this paper the architecture of global vision system of our small size robotic team and the process of object recognition is described. According to the study on color distribution in different color space and quantitative investigation, a method which uses H (Hue) thresholds as the major thresholds to feature exact and recognize object in real time is presented. The fast paced nature of robotic soccer necessitates real time sensing coupled with quick behaving and decision making. In the field with real robots, it is important to well perceive the location of ball, team robots and opponent robots through the vision system in real time. In this paper the architecture of global vision system of our small size robotic team and the process of object recognition is described. According to the study on color distribution in different color space and quantitative investigation, a method which uses H (Hue) thresholds as the major thresholds to feature exact and recognize object in real time is presented.
作者 熊蓉 褚健
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2001年第3期233-238,共6页 哈尔滨工业大学学报(英文版)
关键词 robotic soccer global vision system real time recognition robotic soccer global vision system real time recognition
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参考文献3

  • 1Minoru Asada,Shoichi Noda,Sukoya Tawaratsumida,Koh Hosoda.Purposive behavior acquisition for a real robot by vision-based reinforcement learning[J].Machine Learning (-).1996(2-3)
  • 2ASADA Minoru,KITANO Hiroaki.The RoboCup Challenge[].Robotics and Autonomous Systems.1999
  • 3SARGENT R,BAILEY B,WITTY C,et al.Dynamic object capture using fast vision tracking[].The AI Magazine.1997

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