A Real Time Object Tracking Approach for Mobile Robot Visual Servo Control
文献类型：会议论文
| 作者 | Zhaoxiang Zhang ; Ruhan Sa; Yunhong Wang
|
| 出版日期 | 2011-11-28 |
| 会议日期 | 28th November 2011 |
| 会议地点 | Beijing, China |
| 关键词 | Robustness Image Color Analysis Robots Target Tracking Cameras Clutter |
| 英文摘要 | 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. |
| 会议录 | ACPR 2011
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13244]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 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]. 见:. Beijing, China. 28th November 2011. |
入库方式： OAI收割
来源：自动化研究所
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