CASIA OpenIR  > 类脑智能研究中心
A Real Time Object Tracking Approach for Mobile Robot Visual Servo Control
Zhaoxiang Zhang; Ruhan Sa; Yunhong Wang
2011-11-28
会议名称1st Asian Conference on Pattern Recognition
会议录名称ACPR 2011
会议日期28th November 2011
会议地点Beijing, China
摘要A key problem of Image Based Visual Servo (IBVS) System is to track objects in image sequences. Thus, the tracking algorithm plays an important role in improving the efficiency of IBVS systems. In this paper, a novel tracking algorithm called Modified CamShift Guided Particle Filter (MCAMSGPF) is proposed, which interpolated Speeded-Up Robust Features (SURF) into the framework of conventional CamShift Guided Particle Filter (CAMSGPF) tracking method. This new algorithm outperforms conventional CAMSGPF and other baseline trackers with respect to tracking robustness in the clutter background of similar colors and occlusions. We also proposed a new system model to implement and test the new algorithm in a real time moving IBVS system, which is applied in a mobile robot with an on-board camera.
关键词Robustness Image Color Analysis Robots Target Tracking Cameras Clutter
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13244
专题类脑智能研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Zhaoxiang Zhang,Ruhan Sa,Yunhong Wang. A Real Time Object Tracking Approach for Mobile Robot Visual Servo Control[C],2011.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhaoxiang Zhang]的文章
[Ruhan Sa]的文章
[Yunhong Wang]的文章
百度学术
百度学术中相似的文章
[Zhaoxiang Zhang]的文章
[Ruhan Sa]的文章
[Yunhong Wang]的文章
必应学术
必应学术中相似的文章
[Zhaoxiang Zhang]的文章
[Ruhan Sa]的文章
[Yunhong Wang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。