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Invariant foreground occupation ratio for scale adaptive mean shift tracking
Song, Yi1; Li, Shuxiao1; Zhu, Chengfei1; Jiang, Sheng2; Chang, Hongxing1
2015-08-01
发表期刊IET COMPUTER VISION
卷号9期号:4页码:489-499
文章类型Article
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.
关键词Target Tracking
WOS标题词Science & Technology ; Technology
DOI10.1049/iet-cvi.2014.0150
关键词[WOS]OBJECT TRACKING ; FEATURES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000359605600005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8912
专题综合信息系统研究中心
通讯作者Zhu, Chengfei
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
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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.
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