• DocumentCode
    725908
  • Title

    Robust location tracking method for mixed reality robots using a rotation search method

  • Author

    Yamamoto, Masahiro ; Suzuki, Kazuhiro ; Ogawa, Ryosuke ; Ito, Nobuhiro ; Kawabe, Yoshinobu

  • Author_Institution
    Grad. Sch. of Bus. Adm. & Comput. Sci., Aichi Inst. of Technol., Nagoya, Japan
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    467
  • Lastpage
    472
  • Abstract
    In the RoboCup Mixed Reality Soccer League, the location and direction of each micro robot on the field are detected by a camera positioned above the field. However, setting and adjusting the camera to achieve greater accuracy takes a very long time. Besides, the detection process is influenced by the surrounding environment, including illuminance of the room and location of the field. Therefore, while the robots are in play, accuracy gradually decreases as the illuminance changes over time and eventually, the robots become invisible to the camera. In these situations, changes in illuminance and motion blur can cause serious issues. To solve this problem, we apply a rotation search method in the detection system, which is a “vision tracking system”. In addition, we implement a redesigned vision tracking system and evaluate the new system. Our results confirm that the new system is effective.
  • Keywords
    cameras; image motion analysis; image restoration; microrobots; mobile robots; multi-robot systems; object detection; object tracking; robot vision; virtual reality; RoboCup mixed reality soccer league; camera; detection process; illuminance changes; microrobot; mixed reality robots; motion blur; robust location tracking method; rotation search method; vision tracking system; Accuracy; Cameras; Robot vision systems; Search methods; Servers; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICIS.2015.7166638
  • Filename
    7166638