Multi-Information Fusion for Scale Selection in Robot Tracking
文献类型：会议论文
| 作者 | Zhang, Xiaoqin ; Qiao, Hong; Liu, Zhiyong
|
| 出版日期 | 2006 |
| 会议名称 | IEEE/RSJ International Conference on Intelligent Robots and Systems |
| 会议日期 | OCT 09-13, 2006 |
| 会议地点 | Beijing, PEOPLES R CHINA |
| 关键词 | mean shift integral projection kernel bandwidth |
| 通讯作者 | Zhang, Xiaoqin) |
| 英文摘要 | Mean shift, for its simplicity and efficiency, has achieved a considerable success in robot tracking. For the mean shift based tracking algorithm, the scale of the mean-shift kernel bandwidth is a crucial parameter which reflects the size of tracking window. However, in literature how to properly update or select the bandwidth remains a tough task as the size of the object under consideration changes. In this paper, a weighted average integral projection approach is proposed to extract the local information of the object, and then a multi-information fusion strategy is suggested for the scale selection, which combines both the global and local information of the sample weight image. Moreover, a coarse-to-fine approximate approach is employed to accelerate the procedure. Experimental results demonstrate that, compared to some existing works, the strategy proposed has a better adaptability as the size of the object changes in clutter environments. |
| 会议录 | 2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12824]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | Chinese Acad Sci, Inst Automat |
| 推荐引用方式 GB/T 7714 | Zhang, Xiaoqin,Qiao, Hong,Liu, Zhiyong. Multi-Information Fusion for Scale Selection in Robot Tracking[C]. 见:IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, PEOPLES R CHINA. OCT 09-13, 2006. |
入库方式： OAI收割
来源：自动化研究所
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