• DocumentCode
    2753018
  • Title

    A modified method of vehicle extraction based on background subtraction

  • Author

    Yang, Jingjing ; Dai, Yaping

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A method combines Top-hat Transformation, Morphological Gradient and Background Subtraction is presented in this paper to solve the question of cast shadows and split of vehicle. The method adopts top-hat transformation both on input image and background image to remove the shadows and detect road lines respectively. Then morphological gradient is obtained by multiple structuring elements. The final modified background subtraction which performs on the binary images removes the road lines which impact the result much. Different from other methods, the proposed method eliminates the shadows and extracts the whole vehicle even if the color of the vehicle is similar to the road and the contour beside windshield is very weak. Experimental results prove that the method works well under different vehicle colors and sizes, comparing with the simple background subtraction and the background subtraction based on top-hat transformation. The error rate indicates the improvement.
  • Keywords
    feature extraction; gradient methods; object detection; traffic engineering computing; background subtraction; cast shadows; morphological gradient; road line detection; shadow removal; top-hat transformation; vehicle extraction; vehicle split; windshield; Error analysis; Gray-scale; Image color analysis; Image edge detection; Morphological operations; Roads; Vehicles; background subtraction; morphological gradient; shadow elimination; top-hat transformation; vehicle extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6251194
  • Filename
    6251194