Color and shape feature-based detection of speed sign in real-time

Seunggyu Kim, Seongdo Kim, Youngjung Uh, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a method for detecting speed sign based on color and shape features in real-time under real-life environment. In our method, Region Of Interest(ROI) is extracted and verified based on shape feature. In the first step, ROI is roughly extracted by segmentation of a red rim and the segments are optimized by the boundary using guided image filtering. Next step, the shape-based detection verifies the extracted red rim. We compare three different shape-based detection methods, RSD, BCT, and STVUE, and the RSD shows the best speed sign detection rate of 93% on the experimental data of 62 images containing 85 speed sign.

Original languageEnglish
Title of host publicationProceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Pages663-666
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of
Duration: 2012 Oct 142012 Oct 17

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
CountryKorea, Republic of
CitySeoul
Period12/10/1412/10/17

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

Cite this

Kim, S., Kim, S., Uh, Y., & Byun, H. (2012). Color and shape feature-based detection of speed sign in real-time. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 (pp. 663-666). [6377802] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6377802
Kim, Seunggyu ; Kim, Seongdo ; Uh, Youngjung ; Byun, Hyeran. / Color and shape feature-based detection of speed sign in real-time. Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. pp. 663-666 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).
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abstract = "This paper presents a method for detecting speed sign based on color and shape features in real-time under real-life environment. In our method, Region Of Interest(ROI) is extracted and verified based on shape feature. In the first step, ROI is roughly extracted by segmentation of a red rim and the segments are optimized by the boundary using guided image filtering. Next step, the shape-based detection verifies the extracted red rim. We compare three different shape-based detection methods, RSD, BCT, and STVUE, and the RSD shows the best speed sign detection rate of 93{\%} on the experimental data of 62 images containing 85 speed sign.",
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Kim, S, Kim, S, Uh, Y & Byun, H 2012, Color and shape feature-based detection of speed sign in real-time. in Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012., 6377802, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 663-666, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Korea, Republic of, 12/10/14. https://doi.org/10.1109/ICSMC.2012.6377802

Color and shape feature-based detection of speed sign in real-time. / Kim, Seunggyu; Kim, Seongdo; Uh, Youngjung; Byun, Hyeran.

Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. p. 663-666 6377802 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper presents a method for detecting speed sign based on color and shape features in real-time under real-life environment. In our method, Region Of Interest(ROI) is extracted and verified based on shape feature. In the first step, ROI is roughly extracted by segmentation of a red rim and the segments are optimized by the boundary using guided image filtering. Next step, the shape-based detection verifies the extracted red rim. We compare three different shape-based detection methods, RSD, BCT, and STVUE, and the RSD shows the best speed sign detection rate of 93% on the experimental data of 62 images containing 85 speed sign.

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Kim S, Kim S, Uh Y, Byun H. Color and shape feature-based detection of speed sign in real-time. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. p. 663-666. 6377802. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6377802