%0 Journal Article
%T Research on joint tracking and classification of moving target: survey<br>运动目标联合跟踪与分类研究综述*
%A HUANG Dong-min
%A PAN Quan
%A ZHANG Hong-cai
%A <br>黄冬民
%A 潘泉
%A 张洪才
%J 计算机应用研究
%D 2011
%I 
%X Target tracking and classification are the basic functions of modern tracking systems. The differing nature of the data brought the neglected connections of these two vital tasks in traditional studies and generally led to being performed separately. The joint tracking and classification make it possible that the two processes can exploit the coupling between them and enhance their respective performance. On the basis of principle analysis of the joint tracking and classification(JTC), the algorithms were categorized into there classes according to their mechanism: the algorithm based on Bayes rule, D-S theory and Bayes risk, which were summarized separately and compared with each other. In the end, the survey points out the drawbacks of the existing JTC algorithms and prospects the future researches.
%K tracking
%K classification
%K joint
%K Bayes rule
%K belief function
%K Bayes risk
%K survey<br>跟踪
%K 分类
%K 联合
%K 贝叶斯推理
%K 信用函数
%K 贝叶斯风险
%K 综述
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C345CC744252858C4CFAA4E9B1258EFF&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=E6A891D2134F30C0&eid=FA80E56BCE302C59&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=43