Improved color barycenter model for road-sign detection

Qieshi Zhang, Sei Ichiro Kamata

研究成果: Conference contribution

抄録

This paper proposes an improved color barycenter model (CBM) for road sign detection. The previous version of CBM can find out the colors of road-sign (RS), but its accuracy is not high enough for magenta and blue region segmentation. The improved CBM extends the barycenter distribution to cylinder coordinate and takes the number of colors in every point into account. Then the K-meansclusteringisusedtoanalyze the distribution under cylinder coordinate. Using Geodesic distance instead of Euclidean distance for K-means clustering and some conditions provided by the initial color region of CBM is used to constrain K-means operation. The experimental results show that the improved method is able to detect RS with high robustness.

本文言語English
ホスト出版物のタイトルProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
出版社MVA Organization
ページ93-96
ページ数4
ISBN(印刷版)9784901122139
出版ステータスPublished - 2013
イベント13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, Japan
継続期間: 2013 5月 202013 5月 23

出版物シリーズ

名前Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

Conference

Conference13th IAPR International Conference on Machine Vision Applications, MVA 2013
国/地域Japan
CityKyoto
Period13/5/2013/5/23

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

フィンガープリント

「Improved color barycenter model for road-sign detection」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル