%0 Journal Article
%T Tracking of moving object based on genetic algorithm and Kalman filter<br>一种基于遗传算法和卡尔曼滤波的运动目标跟踪方法
%A HU Jian-hua
%A XU Jian-jian
%A <br>胡建华
%A 徐健健
%J 计算机应用
%D 2007
%I 
%X A real-time tracking of moving object method based on Genetic Algorithm(GA)and Kalman filter was proposed.The possible position of moving target center in the next frame image was predicted by Kalman filter,and a search region of target was generated around the center position.Genetic Algorithms(GA)was utilized to search the best position in the region.The GA fitness function was Bhattacharyya coefficient between the gray features of the target template and the candidate area's,and the parameter code was the coordinates of candidate center position.Finally,the best position was used as an observed value for next prediction.The experimental results show that the method is effective and robust.
%K Genetic Algorithm (GA)
%K Kalman filter
%K target tracking<br>遗传算法
%K 卡尔曼滤波
%K 目标跟踪
%K 基于遗传算法
%K 卡尔曼滤波
%K 运动目标
%K 跟踪方法
%K Kalman
%K filter
%K genetic
%K algorithm
%K based
%K object
%K moving
%K 鲁棒性
%K 实时性
%K 结果
%K 实验
%K 帧预测
%K 观测值
%K 中心位置
%K 候选区域
%K 最佳
%K 匹配搜索
%K 参数编码
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=FB5AF256FFB993F8FE2644A259E0906F&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=DE4E739E935BD9A7&eid=C45B504FED793340&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10