A combined object-tracking algorithm for omni-directional vision-based AGV navigation

被引：0
|
作者：
元伟 [1 ]
孙杰 [2 ]
曹作良 [3 ]
田静 [1 ]
杨明 [2 ]
机构：
[1] School of Computer and Communication Engineering,Tianjin University of Technology
[2] School of Electronic Information Engineering,Tianjin University of Technology
[3] School of Mechanical Engineering,Tianjin University of Technology
来源：
OptoelectronicsLetters | 2010年 / 6卷 / 02期
基金：
国家高技术研究发展计划(863计划);
关键词：
AGV;
D O I：
暂无
中图分类号：
TN966 [各种体制的导航系统];
学科分类号：
摘要：
A combined object-tracking algorithm that realizes the realtime tracking of the selected object through the omni-directional vision with a fisheye lens is presented.The new method combines the modified continuously adaptive mean shift algorithm with the Kalman filter method.With the proposed method,the object-tracking problem when the object reappears after being sheltered completely or moving out of the field of view is solved.The experimental results perform well,and the algorithm proposed here improves the robustness and accuracy of the tracking in the omni-directional vision.
引用
收藏
页码：137 / 139
页数：3
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