%0 Journal Article
%T Moving vehicles'''' shadow detection with fast normalized cross-correlation<br>基于快速归一化互相关函数的运动车辆阴影检测算法
%A WANG Xiao-dong
%A HUO Hong
%A FANG Tao
%A <br>王晓冬
%A 霍宏
%A 方涛
%J 计算机应用
%D 2006
%I 
%X Video detection plays an important role in intelligent transportation system,and the shadows of moving vehicles have serious influence on object detection and segmentation.By adopting a FNCC(Fast Normalized Cross-Correlation) algorithm in this paper,moving shadows were directly detected from grayscale video sequences.By applying three sum-tables in FNCC and detecting shadows within a confined range,the computational complexity had been significantly reduced compared with the traditional NCC(Normalized Cross-Correlation) algorithm.And the experimental results have shown that this method can detect moving vehicles' shadows efficiently and accurately.
%K video detection
%K shadow detection
%K NCC
%K sum-table<br>视频检测
%K 阴影检测
%K 归一化互相关函数
%K 加总表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9E36B79843708DF0&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=358F2B73B31EF50A&eid=03ABEE521EC3BA7B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=6