• DocumentCode
    2083315
  • Title

    Automatic detection system of the fallen down for the parked bicycle in the underground parking garage using optical flow method

  • Author

    Takeda, Fumiaki

  • Author_Institution
    Kochi University of Technology, 185 Miyanokuchi Tosayamada-cho Kami-shi Kochi 782-8502 Japan
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recently, there is a new parking device for the bicycles, which are built on the underground because of good landscape, space saving and more in the urban towns. However, there are a few accidents such that the bicycles parked with high speed by the powerful robot arm are sometimes fallen down in the underground garage after parking. This is serious problem for the use. So a real time detection system for the fallen down bicycles is requested, extremely. We propose a new and unique detection algorithm with applied optical flow method to solve this serious problem. We propose its detection mechanism and show its effectiveness using real monitoring image of the parked bicycle. Finally, we implement this detection algorithm to a Linux computer board and show its practical feasibility.
  • Keywords
    Accidents; Adaptive optics; Bicycles; Computer vision; Image motion analysis; Optical imaging; fallen down bicycle; motion vectors; optical flow method; vague image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244452
  • Filename
    7244452