%0 Journal Article
%T Color Transform Model for Vehicle Detection in Static Images<br>一种用于静态图像车辆检测的颜色变换模型
%A LIU Huai-Yu
%A LI Jing
%A HONG Liu-Rong
%A <br>刘怀愚
%A 李璟
%A 洪留荣
%J 计算机系统应用
%D 2010
%I 
%X To make full use of the color feature of a vehicle, a color transform model based on Karhunen-Loeve(KL) transform is proposed. Utilizing the model, all pixels can be transformed from RGB color space to a 2-D color space. On this 2-D color space, vehicle pixels and non-vehicle pixels will respectively concentrate on detachable areas. On this basis, vehicles can be detected from static images by using a classifier. Testing results demonstrate that when the model is applied the vehicle detection can be used with high accuracy.
%K static image
%K color transform
%K KL transform
%K Fisher criterion
%K vehicle detectio<br>静态图像
%K 颜色变换
%K KL变换
%K Fisher判别准则
%K 车辆检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=2FCA17EC1872A19028A7AB6D393E79C5&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=9CF7A0430CBB2DFD&sid=AC1578C6BB9EBDEF&eid=5D9D6A8FC2C66FD8&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=10