%0 Journal Article
%T Traffic sign recognition based on stable SURFs<br>基于高稳定SURF特征的交通标志识别
%A HU Jin-cheng
%A LI Shi-ying
%A LI Ren-fa
%A <br>胡锦城
%A 李实英
%A 李仁发
%J 计算机应用研究
%D 2012
%I 
%X This paper proposed a new method to recognize traffic signs based on SURFs with high stability. A set of SURFs, which was called bag of SURFs, was constructed using SURFs from multiple video frames that contain a traffic sign, and then matched with a set of SURFs from a standard traffic sign image. The recognition result was determined by the highest score of a weighted scoring scheme. Carried out a experiments based on a public dataset under three given conditions, and also performed comparative analysis with two recent methods. The results demonstrate that the method is an efficent traffic sign recognition method and yields a significant superiority under variable lighting or partial condition.
%K traffic signs
%K object recognition
%K SURF
%K stability
%K weighted scoring scheme<br>交通标志
%K 目标识别
%K SURF特征
%K 稳定性
%K 权值计分策略
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=E82D2154DD923E6E1FB6E5C96289DCEE&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=DEEF11992984C25D&eid=0A97B65BD82A9CE2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15