• DocumentCode
    266427
  • Title

    Scene model for video traffic analysis

  • Author

    Brulin, M. ; Nicolas, H.

  • Author_Institution
    Labri, Univ. of Bordeaux, Bordeaux, France
  • fYear
    2014
  • fDate
    26-29 Aug. 2014
  • Firstpage
    301
  • Lastpage
    306
  • Abstract
    For traffic video surveillance applications, it is necessary to define automatic systems able to analyze vehicles or pedestrians behaviors in real time. This is a very difficult task which involves major difficulties such as moving objects detection, tracking, and classification. In order to simplify it, a priori knowledge of the scene characteristics can be exploited. This paper presents a complete system able to automatically analyze the scene geometry and the traffic rules in the context of a traffic scene analysis. It allows detecting the road area, its decomposition into circulation lanes and forbidden areas, the typical vehicle´s trajectories and some circulation rules. This scene model can be usefully exploited by a video traffic analysis system. Experiments show that the scene model is well estimated.
  • Keywords
    object detection; pedestrians; traffic engineering computing; video signal processing; video surveillance; circulation rules; moving object detection; object classification; object tracking; pedestrian behaviors; road area detection; scene geometry analysis; scene model; traffic rules; traffic scene analysis; traffic video surveillance; vehicle analysis; vehicle trajectory; video traffic analysis system; Cameras; Estimation; Roads; Surveillance; Traffic control; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/AVSS.2014.6918685
  • Filename
    6918685