• DocumentCode
    3386319
  • Title

    Target tracking and measuring based on binocular vision

  • Author

    Bo Li ; Wei Xie

  • Author_Institution
    Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    1393
  • Lastpage
    1396
  • Abstract
    Vision system which can be used for real-time tracking and measuring of moving target is very important in robot soccer match. Based on DSP embedded vision subsystem, this paper proposes a method to measure the binocular distance based on binocular parallax between two images´ color. First, camera´s intrinsic parameters can be determined by calculating the R component of the pixels´ color of the image in the experiment of camera calibration. Then image segment is used in real-time capture of the target´s images, and the binocular parallax and the world coordinates of target are calculated. Then the target can be located by regional color matching method. The results of the experiments show that this algorithm can detect and locate the target commendably. It sets up a platform for further research which can supply plenteous information for strategy system and tracking target.
  • Keywords
    cameras; distance measurement; embedded systems; image colour analysis; image matching; image segmentation; object detection; robot vision; target tracking; DSP embedded vision subsystem; binocular distance measurement; binocular parallax; binocular vision; camera calibration; digital signal processing; image color; image segment; moving target tracking; real time tracking; regional color matching method; robot soccer match; target detection; Calibration; Cameras; Image color analysis; Mathematical model; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747797
  • Filename
    6747797