Presentation 2006-07-13
Classification and recognition of road signs useing for SOM
Hirofumi OHARA, Akihiro KANAGAWA, Hiromitsu TAKAHASHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper a new method to detect road signs from color road images and to recognize them is proposed. This problem has been recognized as an important research field of ITS(Intelligent Transportation Systems). Self-Organizing Map is constructed by using feature of color rates, shape feature coefficients and texture feature coefficients. Experimental results show this method is sufficiently efficient for practical use.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Road Signs / Shape Feature Coefficient / Neural Networks / SOM
Paper # IE2006-22,MVE2006-28
Date of Issue

Conference Information
Committee MVE
Conference Date 2006/7/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification and recognition of road signs useing for SOM
Sub Title (in English)
Keyword(1) Road Signs
Keyword(2) Shape Feature Coefficient
Keyword(3) Neural Networks
Keyword(4) SOM
1st Author's Name Hirofumi OHARA
1st Author's Affiliation Okayama Prefectural University()
2nd Author's Name Akihiro KANAGAWA
2nd Author's Affiliation Okayama Prefectural University
3rd Author's Name Hiromitsu TAKAHASHI
3rd Author's Affiliation Okayama Prefectural University
Date 2006-07-13
Paper # IE2006-22,MVE2006-28
Volume (vol) vol.106
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue