%0 Journal Article
%T A Fuzzy Region Understanding Tactic for Object Tracking Based on Frog''s Vision Characteristic<br>基于蛙眼视觉特性的运动目标模糊化区域理解跟踪方法
%A WANG Zhi-Ling CHEN Zong-Hai XU Xiao-Xiao WU Liang
%A <br>王智灵
%A 陈宗海
%A 徐萧萧
%A 吴亮
%J 自动化学报
%D 2009
%I 
%X The detection and tracking of moving objects under dynamic scenes is one of the hot topics in computer vision research. The problem is difficult when local scenes or object's appearance vary saliently. In this paper, we develop a robust intelligent tracking tactic based on the intrinsic and extrinsic features of frog's visual system. It is achieved through a so called ``fuzzy region understanding'. Experimental results on real lab-video and comparison with two traditional algorithms are reported to demonstrate the validity and robustness of our algorithm.
%K Biological intelligence
%K frog
%K moving object tracking
%K scene break
%K fuzzy region understanding
%K mean shift<br>生物智能
%K 蛙眼视觉特性
%K 运动目标跟踪
%K 局部场景突变
%K 模糊化区域理解
%K mean
%K shift
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=7E63E2664B71C6974E8AB060A48F7A38&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=5D311CA918CA9A03&sid=94D812A784CFA7CC&eid=1A775ABEB80E436B&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=0