%0 Journal Article
%T Motion object detection using wavelet transform and texture feature<br>利用小波变换和纹理特征实现运动对象检测
%A MA Xiao-kai
%A LI Shao-fa
%A <br>马晓凯
%A 黎绍发
%J 计算机应用
%D 2007
%I 
%X Motion object detection is an important issue in the applications of computer vision.A new method to detect motion objects was presented,by comparing the texture diversity between the foreground image and the background image.The texture feature of an image block can be attained from its wavelet domain in different frequency.To adapt itself to the changing environment,an improved method to maintain the background was introduced.The experimental results show that the algorithm is fast and reliable,which meets the requirements of real-time motion object.
%K motion object
%K wavelet transform
%K texture feature<br>运动对象
%K 小波变换
%K 纹理特征
%K 利用
%K 小波变换
%K 纹理特征
%K 运动对象检测
%K texture
%K feature
%K wavelet
%K transform
%K object
%K detection
%K 运动检测
%K 快速
%K 结果
%K 实验
%K 抗干扰能力
%K 光线变化
%K 环境
%K 维护方法
%K 背景图像
%K 改进
%K 特征差异
%K 前景图像
%K 同频率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512153D534623882600&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=FE4C96E058BB2280&eid=1DF3F9D75A12D97B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6