%0 Journal Article
%T Object tracking research based on on-line learning<br>基于在线学习的目标跟踪方法研究*
%A QI Zhi-quan
%A SONG Ye
%A WANG Lai-sheng
%A <br>齐志泉
%A 宋野
%A 王来生
%J 计算机应用研究
%D 2010
%I 
%X To video object tracking problem, this paper proposed an on-line learning tracking method based on co-training framework. First of all, the method adopted two different local features to build on-line Boosting model, and then, would train samples making use of co-training learning framework, which avoided the cumulative error of the model and dropping frames problem effectively. Furthermore, some experiments have been maded and the results implyed that the new method is very efficient.
%K local features
%K on-line Boosting
%K co-training
%K object tracking<br>局部特征
%K 在线Boosting
%K 协同训练
%K 目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8C996119974B36D00241DDB898F6418C&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=BDEE8BA20F4733DB&eid=E3691231514F8E11&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8