Road sign detection using eigen color

Luo Wei Tsai, Yun Jung Tseng, Jun Wei Hsieh, Kuo Chin Fan, Jiun Jie Li

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel color-based method to detect road signs directly from videos. A road sign usually has specific colors and high contrast to its background. Traditional color-based approaches need to train different color detectors for detecting road signs if their colors are different. This paper presents a novel color model derived from Karhunen-Loeve(KL) transform to detect road sign color pixels from the background. The proposed color transform model is invariant to different perspective effects and occlusions. Furthermore, only one color model is needed to detect various road signs. After transformation into the proposed color space, a RBF (Radial Basis Function) network is trained for finding all possible road sign candidates. Then, a verification process is applied to these candidates according to their edge maps. Due to the filtering effect and discriminative ability of the proposed color model, different road signs can be very efficiently detected from videos. Experiment results have proved that the proposed method is robust, accurate, and powerful in road sign detection.

原文???core.languages.en_GB???
主出版物標題Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
發行者Springer Verlag
頁面169-179
頁數11
版本PART 1
ISBN(列印)9783540763857
DOIs
出版狀態已出版 - 2007
事件8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
持續時間: 18 11月 200722 11月 2007

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
4843 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???8th Asian Conference on Computer Vision, ACCV 2007
國家/地區Japan
城市Tokyo
期間18/11/0722/11/07

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