• DocumentCode
    651839
  • Title

    Sensing of Traffic Flow in Real-World for Reconstruction in VR

  • Author

    Guo Tian ; Akashi, T.

  • Author_Institution
    Iwate Univ., Iwate, Japan
  • fYear
    2013
  • fDate
    21-23 Oct. 2013
  • Firstpage
    386
  • Lastpage
    386
  • Abstract
    Summary form only given. To make Virtual Reality (VR) world closer to reality, it is necessary to acquire much information from the real-world. Especially for simulation of transportation, it is important for VR world to obtain traffic flow in reality. This paper describes an application to compute traffic flow through a sequence of images captured with video camera. In this search, camera is not set above the roadway but beside the roadway.
  • Keywords
    computer vision; image sequences; road traffic; virtual reality; VR; camera; computer vision; image sequence; traffic flow sensing; transportation simulation; virtual reality; Cameras; Computational modeling; Educational institutions; Object detection; Solid modeling; Surveillance; Vehicles; Bayes theory; computer vision; traffic flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyberworlds (CW), 2013 International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4799-2245-1
  • Type

    conf

  • DOI
    10.1109/CW.2013.32
  • Filename
    6680160