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A real time object tracking approach for mobile robot visual servo control

  • Zhaoxiang Zhang*
  • , Ruhan Sa
  • , Yunhong Wang
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名1st Asian Conference on Pattern Recognition, ACPR 2011
500-504
页数5
DOI
出版状态已出版 - 2011
活动1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, 中国
期限: 28 11月 201128 11月 2011

出版系列

姓名1st Asian Conference on Pattern Recognition, ACPR 2011

会议

会议1st Asian Conference on Pattern Recognition, ACPR 2011
国家/地区中国
Beijing
时期28/11/1128/11/11

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