• DocumentCode
    2640002
  • Title

    Automated extraction of queue lengths from airborne imagery

  • Author

    Agrawal, Ashish ; Hickman, Mark

  • Author_Institution
    Dept. of Civil Eng. & Mech. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    2004
  • fDate
    3-6 Oct. 2004
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    We propose a methodology to obtain intersection queue length estimates from an airborne image by using connected component analysis of the thresholded region of interest. The queue estimates are obtained by two techniques: by counting individual vehicles in the queue and by the area of a polygon containing the vehicles in the queue. The techniques are tested rigorously on a set of images taken from the cities of Tucson and Seattle and the results are presented.
  • Keywords
    estimation theory; image segmentation; queueing theory; vehicles; airborne imagery; connected component analysis; image thresholding; individual vehicles; intersection queue length estimation; polygon queue method; queue length extraction; region of interest; Cameras; Cities and towns; Delay; Image analysis; Monitoring; Queueing analysis; Testing; Traffic control; Transportation; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
  • Print_ISBN
    0-7803-8500-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2004.1398914
  • Filename
    1398914