Invariant foreground occupation ratio for scale adaptive mean shift tracking
文献类型：期刊论文
| 作者 | Song, Yi1; Li, Shuxiao1 ; Zhu, Chengfei1; Jiang, Sheng2; Chang, Hongxing1
|
| 刊名 | IET COMPUTER VISION
 |
| 出版日期 | 2015-08-01 |
| 卷号 | 9期号:4页码:489-499 |
| 英文摘要 | The mean shift algorithm has been introduced successfully into the field of computer vision to be an efficient approach for visual tracking but the tracker has been awkward in handling the scale change of the object. This study addresses the scale estimation problem of the mean shift tracker, and proposes a novel method which is based on invariant foreground occupation ratio to solve this problem. The foreground occupation ratio is defined as the proportion of the foreground pixels in an image region. By taking an analysis of the foreground occupation ratio, the authors obtain its three simple properties. With its property of scale invariance, an iterative approximation approach is employed to estimate the scale of the foreground in the current image. The scale value is modified by a weighting function, and it is adjusted along the two axes with respect to the width and the height of the target. The scale estimation algorithm is then employed in the mean shift tracker to obtain the ability of scale adaptation for tracking. Experimental results show that, using the authors method for object scale estimation, the mean shift tracker performs well in tracking the target efficiently when its scale continuously changes. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | OBJECT TRACKING ; FEATURES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359605600005 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8912]  |
| 专题 | 自动化研究所_综合信息系统研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Integrated Informat Syst Res Ctr, Inst Automat, Beijing, Peoples R China 2.Chinese Acad Sci, New Technol Lab Fine Mech & Phys, Changchun Inst Opt, Changchun, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Yi,Li, Shuxiao,Zhu, Chengfei,et al. Invariant foreground occupation ratio for scale adaptive mean shift tracking[J]. IET COMPUTER VISION,2015,9(4):489-499. |
| APA | Song, Yi,Li, Shuxiao,Zhu, Chengfei,Jiang, Sheng,&Chang, Hongxing.(2015).Invariant foreground occupation ratio for scale adaptive mean shift tracking.IET COMPUTER VISION,9(4),489-499. |
| MLA | Song, Yi,et al."Invariant foreground occupation ratio for scale adaptive mean shift tracking".IET COMPUTER VISION 9.4(2015):489-499. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。