Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Invariant foreground occupation ratio for scale adaptive mean shift tracking | |
Song, Y.; S. X. Li; C. F. Zhu; S. Jiang and H. X. Chang | |
2015 | |
发表期刊 | Iet Computer Vision
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卷号 | 9期号:4页码:489-499 |
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. |
收录类别 | SCI ; EI |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/55290 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Song, Y.,S. X. Li,C. F. Zhu,et al. Invariant foreground occupation ratio for scale adaptive mean shift tracking[J]. Iet Computer Vision,2015,9(4):489-499. |
APA | Song, Y.,S. X. Li,C. F. Zhu,&S. Jiang and H. X. Chang.(2015).Invariant foreground occupation ratio for scale adaptive mean shift tracking.Iet Computer Vision,9(4),489-499. |
MLA | Song, Y.,et al."Invariant foreground occupation ratio for scale adaptive mean shift tracking".Iet Computer Vision 9.4(2015):489-499. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Invariant_foreground(1071KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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