• DocumentCode
    734195
  • Title

    A new method for image recognition of binocular vision system by tennis intelligent robot

  • Author

    Ying Li ; Yue Wu ; Heng Zheng ; Wenqi Jiang ; Zhihua Gao

  • Author_Institution
    Hengshui Univ., Hengshui, China
  • fYear
    2015
  • fDate
    27-29 March 2015
  • Firstpage
    240
  • Lastpage
    244
  • Abstract
    Aim to let the intelligent robot could quick, accurately identify and locate tennis, a new method of tennis recognition is proposed in this paper based on color and shape. First, more independent goals image are removed through color filter method and image filter method with taking advantage of Matlab processing functions. Secondly, corner pixels were extracted to complete stereovision matching in order to obtain tridimensional information of position and shape under the extreme constraints. Sufficient experiments of tennis recognition show that the algorithm which is based on single tennis characteristic has poor accuracy with parallax positioning accuracy of 76%, distance accuracy of 71% and color accuracy of 67%. However, accuracy of the algorithm which bases on three characteristics reaches 91%. The results show that the algorithm has higher robustness and tennis position can be located and distinguished more effectively, work efficiency is therefore enhanced for the intelligent robot.
  • Keywords
    image colour analysis; image filtering; image recognition; intelligent robots; mathematics computing; robot vision; shape recognition; Matlab processing functions; binocular vision system; color filter method; image filter method; image recognition; shape; tennis intelligent robot; tennis recognition; Accuracy; Cameras; Indexes; MATLAB; Optical imaging; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
  • Conference_Location
    Wuyi
  • Print_ISBN
    978-1-4799-7257-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2015.7184785
  • Filename
    7184785