• DocumentCode
    3476130
  • Title

    Estimation and analysis of urban traffic flow

  • Author

    Lee, Joonsoo ; Bovik, Alan C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1157
  • Lastpage
    1160
  • Abstract
    This paper describes methods for extracting traffic flow information from urban traffic scenes. The ultimate goal is to collect a macroscopic view of traffic flow information in a fully automatic and segmentation-free way. First, traffic flow is calculated by optical flow estimation. Then, traffic flow regions are defined by the initial traffic flow, and further analysis is performed only in the defined traffic flow regions. Basic statistics of the traffic flow vectors are studied. It is shown that traffic flow computed by optical flow estimation effectively captures traffic scene activity. Also, the statistics of traffic flow vectors contain meaningful and interesting characteristics. An example application demonstrates the applicability and potential uses of the statistics.
  • Keywords
    image segmentation; image sequences; road traffic; statistical analysis; initial traffic flow analysis; macroscopic view collection; optical flow estimation; traffic flow information extraction; traffic flow vector statistics; traffic scene activity; urban traffic flow estimation; Application software; Humans; Image motion analysis; Layout; Motion detection; Optical computing; Optical sensors; Statistics; Surveillance; Vehicle detection; Traffic flow; flow vector statistics; optical flow; traffic surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413520
  • Filename
    5413520