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Machine Vision and Applications

, Volume 24, Issue 8, pp 1721–1732 | Cite as

Triangular traffic signs detection based on RSLD algorithm

  • Mohammed BoumedieneEmail author
  • Christophe Cudel
  • Michel Basset
  • Abdelaziz Ouamri
Original Paper

Abstract

This paper describes an efficient method for the detection of triangular traffic signs on grey-scale images. This method is based on the proposed RANSAC symmetric lines detection (RSLD) algorithm which transforms triangle detection into a simple segment detection. A multi-scale approach allows the detection of any warning and yield traffic signs, whatever their distance to the vehicle. This algorithm is applied to a set of selected corners obtained with a coding gradient method. Baseline detection uses the scale of selected triangles to confirm the presence of traffic signs. The study demonstrates that RSLD is a low computation method as compared to standard triangle detection. The performance of the method proposed is compared with recently published methods on road sign databases, which use colour information. An equivalent detection rate is obtained with this algorithm, working on grey-scale images. This algorithm is implemented and runs in real-time at 30 frames per second.

Keywords

Traffic sign detection Advanced driver assistance systems Computer vision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mohammed Boumediene
    • 1
    • 2
    Email author
  • Christophe Cudel
    • 1
  • Michel Basset
    • 1
  • Abdelaziz Ouamri
    • 2
  1. 1.Laboratoire MIPSUniversité de Haute AlsaceMulhouseFrance
  2. 2.Laboratoire Signaux et ImagesUniversité des Sciences et de la Technologie Mohamed BoudiafOranAlgeria

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