• DocumentCode
    3398049
  • Title

    Unknown-color spherical object detection and tracking

  • Author

    Troppan, Anze ; Guerreiro, Eduardo ; Celiberti, Francesco ; Santos, Giovanni ; Ahmad, Ayaz ; Lima, Pedro U.

  • Author_Institution
    Inst. for Syst. & Robot., Inst. Super. Tecnico Lisboa, Lisbon, Portugal
  • fYear
    2013
  • fDate
    24-24 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Detection and tracking of an unknown-color spherical object in a partially-known environment using a robot with a single camera is the core problem addressed in this article. A novel color detection mechanism, which exploits the geometrical properties of the spherical object´s projection onto the image plane, precedes the object´s detection process. A Kalman filter-based tracker uses the object detection in its update step and tracks the spherical object. Real robot experimental evaluation of the proposed method is presented on soccer robots detecting and tracking an unknown-color ball.
  • Keywords
    Kalman filters; image colour analysis; mobile robots; object detection; object tracking; robot vision; Kalman filter-based tracker; color detection mechanism; geometrical properties; image plane; partially-known environment; soccer robots; unknown-color ball; unknown-color spherical object detection; unknown-color spherical object tracking; update step; Cameras; Image color analysis; Lighting; Object detection; Robot kinematics; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Robot Systems (Robotica), 2013 13th International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4799-1246-9
  • Type

    conf

  • DOI
    10.1109/Robotica.2013.6623533
  • Filename
    6623533