• DocumentCode
    2516462
  • Title

    Detection of abnormal driving using multiple view geometry in space-time

  • Author

    Saruwatari, Kota ; Sakaue, Fumihiko ; Sato, Jun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    1102
  • Lastpage
    1107
  • Abstract
    In this paper, we propose a method for detecting abnormal driving of vehicles, such as meandering, transverse motion and acceleration/deceleration. In particular, we extract abnormal vehicle motions in the sense of group behavior by using multilinear relationship in space-time images. The multilinear relationship in space-time images holds when multiple cameras move with translational motions in different direction with different speed. Therefore abnormal drivings, which are not translational motion with uniform velocity, do not meet the requirement, and the multilinear relationship in space-time images does not hold. We focus on this property, and define the degree of abnormality, which is used for detecting abnormal drivings. The efficiency of the proposed method is shown by real image experiments.
  • Keywords
    image motion analysis; object detection; traffic engineering computing; abnormal driving detection; abnormal vehicle motion; acceleration; deceleration; group behavior; meandering; multilinear relationship; multiple view geometry; space-time image; translational motion; transverse motion; uniform velocity; Acceleration; Cameras; Null space; Roads; Safety; Tensile stress; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232189
  • Filename
    6232189