%0 Journal Article
%T Improved particle filter algorithm for object tracking<br>一种改进的粒子滤波目标跟踪算法*
%A ZHOU Shang-bo
%A HE Ge
%A LIU Yu-jiong
%A <br>周尚波
%A 何革
%A 柳玉炯
%J 计算机应用研究
%D 2010
%I 
%X The conventional Condensation tracking method uses the state transition distribution as the proposal distribution. However, the transition distribution does not take into account the current observations, thus many particles can be wasted in low likelihood regions. In this dissertation, this paper proposed a particle filter tracking method based on Mean Shift to improve the proposal distribution. Experimental results show that the improved particle filter algorithm has robustness and real-time property.
%K particle filter
%K Mean Shift
%K visual object tracking<br>粒子滤波
%K 均值漂移
%K 视觉目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=048D0DF9B24FA5E6FE0B166BE2A92017&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=0414E399EC34598D&eid=4455C105DD030FEF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=3&reference_num=9