Traffic sign detection by template matching based on multi-level chain code histogram

Rongqiang Qian, Bailing Zhang, Yong Yue, Frans Coenen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

8 Citations (Scopus)

Abstract

This paper proposes a real-time system for traffic signs detection, which features of template matching based on a new feature expression for geometric shapes, namely, multi-level chain code histogram (MCCH). For all of the different shapes associated with Chinese traffic signs, e.g., circle, triangle, inverted triangle and octagon, MCCH is a robust feature expression with remarkable low computational cost, which is particularly important for real-time applications. The proposed system consists of three stages: 1) segmentation based on color; 2) MCCH extraction; 3) template matching. Extensive experiments were conducted using different datasets, demonstrating outstanding performance with regard to high processing speed and accuracy. The system robustness to rotation, scale, and illumination has also been illustrated.

Original languageEnglish
Title of host publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
EditorsZhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2400-2404
Number of pages5
ISBN (Electronic)9781467376822
DOIs
Publication statusPublished - 13 Jan 2016
Event12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China
Duration: 15 Aug 201517 Aug 2015

Publication series

Name2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Conference

Conference12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/TerritoryChina
CityZhangjiajie
Period15/08/1517/08/15

Keywords

  • driving assistance system
  • template macthing
  • traffic sign detection

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