%0 Journal Article
%T Novel tracking algorithm based on QP_TR method for low S/N ratio image sequences<br>基于QP_TR信任域方法的低信噪比序列图像目标跟踪*
%A JIA Jing-ping
%A ZHAO Yan-li
%A ZHAO Rong-chun
%A <br>贾静平
%A 赵艳丽
%A 赵荣椿
%J 计算机应用研究
%D 2007
%I 
%X Two problems exist in a tracking system for low S/N ratio image sequences on moving platforms. The global shift introduced by ego motion often makes targets fall outside the search region. The noise in the images can distract the tracker, This paper proposed a new QPTR based tracking algorithm, which solved the above-mentioned problems by the combination of Kalman filtration. Image stabilization and template matching were done with QPTR, while the noise was eliminated by targot state estimation. Compared to the TSS, the new method had better performance in that it enlarges the search region and reduces the number of template matching operation at the same time, Experiments on real image sequences show that the proposed method can stabilize the sequences very well and track targets steadily despite of the ego motion and noise.
%K QP_TR trust region algorithm
%K tracking in image sequences
%K state estimation<br>QP_TR信任域算法
%K 序列图像中的目标跟踪
%K 运动状态估计
%K 信任域
%K 搜索方法
%K 低信噪比
%K 序列图像目标跟踪
%K method
%K based
%K algorithm
%K tracking
%K Novel
%K image
%K sequences
%K 稳定跟踪
%K 运动图像
%K 实验
%K 列上
%K 优良性能
%K 大小
%K 滤除干扰
%K 状态估计
%K 滤波器
%K 模板匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3C5E78C8E8E7930A&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=F3090AE9B60B7ED1&sid=6235172E4DDBA109&eid=C29816B2656377A7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=6