Illumination invariant color segmentation method based on cluster center tree for traffic sign detection

Byeongdae Woo, Yeongwoo Choi, Youngjung Uh, Kwangyong Lim, Hyeran Byun

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

Abstract

This paper proposes a color segmentation method that can locate candidate regions of traffic signs accurately and reliably from real world images. In the real world, there are various light conditions which make the color segmentation very difficult problem. Hence, we propose an illumination invariant color segmentation method. The proposed method consists of two parts; 1) cluster center treebased segmentation 2) illumination estimation. Cluster center tree is trained for color segmentation. Illumination estimation algorithm classifies light condition of the input images. We validate the proposed method qualitatively and quantitatively with 1,745 images containing red and blue traffic signs captured with four light conditions; sunny, cloudy, rainy and night. The proposed method achieves the high detection rate of 99.25% in sunny, 98.33% in cloudy, 87.85% in rainy and 88.70% at night.

Original languageEnglish
Title of host publicationACM IMCOM 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450333771
DOIs
Publication statusPublished - 2015 Jan 8
Event9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015 - Bali, Indonesia
Duration: 2015 Jan 82015 Jan 10

Publication series

NameACM IMCOM 2015 - Proceedings

Other

Other9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015
CountryIndonesia
CityBali
Period15/1/815/1/10

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering
  • Management Information Systems

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  • Cite this

    Woo, B., Choi, Y., Uh, Y., Lim, K., & Byun, H. (2015). Illumination invariant color segmentation method based on cluster center tree for traffic sign detection. In ACM IMCOM 2015 - Proceedings [a74] (ACM IMCOM 2015 - Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/2701126.2701139