| Scale adaptive tracking using mean shift and efficient feature matching | |
Yi Song; Shuxiao Li ; Jinglan Zhang; Hongxing Chang
| |
| 2014 | |
| 会议名称 | ICPR 2014 |
| 会议录名称 | International Conference on Pattern Recognition (ICPR) |
| 会议日期 | 2014 |
| 会议地点 | 瑞典 |
| 摘要 | The mean shift tracker has achieved great success in visual object tracking due to its efficiency being nonparametric. However, it is still difficult for the tracker to handle scale changes of the object. In this paper, we associate a scale adaptive approach with the mean shift tracker. Firstly, the target in the current frame is located by the mean shift tracker. Then, a feature point matching procedure is employed to get the matched pairs of the feature point between target regions in the current frame and the previous frame. We employ FAST-9 corner detector and HOG descriptor for the feature matching. Finally, with the acquired matched pairs of the feature point, the affine transformation between target regions in the two frames is solved to obtain the current scale of the target. Experimental results show that the proposed tracker gives satisfying results when the scale of the target changes, with a good performance of efficiency. |
| 关键词 | Object Tracking Mean Shift Feature Point Matching Scale Adaptation |
| 收录类别 | EI |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/5583 |
| 专题 | 综合信息系统研究中心 |
| 通讯作者 | Yi Song |
| 推荐引用方式 GB/T 7714 | Yi Song,Shuxiao Li,Jinglan Zhang,et al. Scale adaptive tracking using mean shift and efficient feature matching[C],2014. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Scale adaptive track（781KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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