• DocumentCode
    627237
  • Title

    Night mode prohibitory traffic signs detection

  • Author

    Biswas, Rubel ; Khan, Ajmal ; Alom, Md Zahangir ; Khan, Mahrukh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., BRAC Univ., Dhaka, Bangladesh
  • fYear
    2013
  • fDate
    17-18 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Prohibitory traffic signs play an important role in guiding, warning and regulating traffic system. As driving over the speed limit is often the major cause of accidents, detecting this group of prohibitory signs may reduce this danger. This paper presents an approach to detecting speed limit signs at night mode which is based on Multi-Scale Retinex Color Restoration and Hough Transform. Experiment to check the strength of this approach shows that approximately 96.6% of the prohibitory traffic signs invoked for this test were successfully detected. This test was carried out at dark mode images from different country.
  • Keywords
    Hough transforms; image colour analysis; image restoration; object detection; traffic engineering computing; Hough transform; dark mode images; multiscale retinex color restoration; night mode prohibitory traffic sign detection; speed limit sign detection; traffic system guidance; traffic system regulation; traffic system warning; Image color analysis; Image edge detection; Image restoration; Intelligent vehicles; Roads; Transforms; Vehicles; Hough transform; MSRCR; Traffic signs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-0397-9
  • Type

    conf

  • DOI
    10.1109/ICIEV.2013.6572589
  • Filename
    6572589