%0 Journal Article
%T Region of Interest Detection Based on Visual Attention Model and Evolutionary Programming<br>基于视觉注意模型和进化规划的感兴趣区检测方法
%A Zhang Jing
%A Shen Lan-sun
%A Gao Jing-jing
%A <br>张菁
%A 沈兰荪
%A 高静静
%J 电子与信息学报
%D 2009
%I 
%X According to biological attention mechanism, a region of interest detection based on visual attention model and evolutionary programming is proposed in this paper. Candidate image regions are segmented with evolutionary programming algorithm. The interest of a region is measured with local saliency produced by visual attention model and global saliency based on evolutionary programming. After wavelet multiscale transform, local saliency in visual attention model is computed by center-surround differences. Under the action of saliency enhancement factors, focus of attention selects region of interest from candidate regions. The experimental results show the proposed approach is closer to human attention mechanism and performs well for object detection and interest measurement.
%K Computer vision
%K Visual Attention Model (VAM)
%K Region Of Interest (ROI)
%K Evolutionary Programming (EP)
%K Saliency
%K Focus of Attention (FOA)<br>计算机视觉
%K 视觉注意模型
%K 感兴趣区
%K 进化规划
%K 显著度
%K 注意焦点
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=DBE0D240E3D1FB5273493E62494FF549&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=DF92D298D3FF1E6E&sid=5B76AAD74B03D886&eid=1396DEC9DD671DC4&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=17