• DocumentCode
    2035924
  • Title

    Vehicle detection using morphological image processing technique

  • Author

    Ajmal, Aisha ; Hussain, Ibrahim M.

  • Author_Institution
    Dept. of Comput. Eng., Sir Syed Univ. of Eng. & Technol., Karachi, Pakistan
  • fYear
    2010
  • fDate
    2-4 March 2010
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. In this paper we propose a novel and efficient algorithm based on image processing using aerial cameras for vehicle detection and classification especially in highways. The algorithm is mainly based on a sequence of morphological methods being applied on an image taken by an aerial camera of a road segment. The algorithm also uses thresholding and edge detection techniques for vehicle detection. Experiments are carried out over a wide range of vehicles, road segments and camera heights. A success rate of more than 85% and proper vehicle classification is achieved.
  • Keywords
    cameras; decision making; edge detection; image classification; road vehicles; traffic control; traffic engineering computing; aerial cameras; decision making; edge detection technique; highways; morphological image processing technique; morphological methods; road segments; thresholding technique; traffic control; traffic management; vehicle classification; vehicle detection; Automotive engineering; Cameras; Decision making; Image edge detection; Image processing; Image segmentation; Object detection; Road vehicles; Shape control; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Information Technology (MCIT), 2010 International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-7001-3
  • Type

    conf

  • DOI
    10.1109/MCIT.2010.5444851
  • Filename
    5444851