Traffic Sign Detection Based on Shape Model

  • Xulan Zhang
  • Dunxu Yang
  • Xiaofeng Du
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 205)


As an important part of the Intelligent Traffic System (ITS), traffic sign detection is an important pre-procession for ITS. This paper developed a novel sign detection algorithm based on the Shape-band template matching which models an object within a bandwidth of its sketch/contour. Moreover, shape-band is also used as a feature selection method in this paper. Experimental results show the traffic sign detection is robust towards deformation of signs, illumination change and partial occlusion.


Traffic sign detection Shape band Template matching 


  1. 1.
    Zhu S, Lu X (2006) A survey of the research on traffic sign recognition. Comput Eng Sci 28(12):50–52Google Scholar
  2. 2.
    De La Escalera A, Salichs M (1997) Road traffic sign detection and classification. IEEE Trans Industrial Electron 44(6):848–859CrossRefGoogle Scholar
  3. 3.
    De La Escalera A, Armingol JM, Mata M (2003) Traffic sign recognition and analysis for intelligent vehicles. Image Vis Comput 21(3):247–258CrossRefGoogle Scholar
  4. 4.
    Fleyeh H (2005) A novel fuzzy approach for shape determination of traffic signs. In: Proceeding of the 2nd Indian International Conference on Artificial Intelligence, vol 15 Springer, pp 1847–1862Google Scholar
  5. 5.
    Cyganek B (2007) Soft system for road signs detection. Adv Soft Comput 41:316–326CrossRefGoogle Scholar
  6. 6.
    Cygenek B (2007) Circular road signs recognition with soft classifiers. Integr Comput Aided Eng 14(4):323–343Google Scholar
  7. 7.
    Li L, Ma G (2009 Detection and classification algorithm of traffic signs under natural scenes. J Harbin Inst Technol (41)11:29–38Google Scholar
  8. 8.
    Sun G, Wang J, Guangyu Y et al (2010) The detection and recognition of traffic signs in natural scenes. J Beijing Univ Technol (36)10:1337–1343Google Scholar
  9. 9.
    Zhu S, Zhang Y, Xiaofeng L (2006) Intelligent approach for triangle traffic sign detection. J Image Graph 08:24–27Google Scholar
  10. 10.
    Ning Z, Tiejun H, Gao Z, et al (2008) Detection methods of traffic signs in road scenes. J Traffic Transp Eng (8):6:104–109Google Scholar
  11. 11.
    He JP, Ma Y (2010) Triangle traffic sign detection approach based on shape information. Comput Eng (36)19:198–199Google Scholar
  12. 12.
    Bai X, Li Q, Latecki L et al (2009) Shape band: A deformable object detection approach. In: Proceeding CVPR, vol 3 pp 309–316Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.YiYang Vocational and Technical CollegeYiyangChina
  2. 2.School of Information Science and TechnologyXiamen UniversityXiamenChina
  3. 3.School of MathematicsXiamen UniversityXiamenChina

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