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题名:
Online fragments-based scale invariant electro-optic tracking with SIFT
作者: Cui, Xiongwen1,2; Wu, Qingzhang1; Zhou, Jin1
刊名: Optik
出版日期: 2015
卷号: 126, 期号:18, 页码:1720-1725
学科分类: Optical properties
DOI: 10.1016/j.ijleo.2015.04.071
通讯作者: Cui, Xiongwen
文章类型: 期刊论文
中文摘要: A novel online fragments-based scale invariant electro-optic tracking algorithm is proposed to deal with partial occlusion and cluttered background. First, the bounding box of the object is divided into equal-size fragments. A criterion based on FBE (Forward-Backward Error) is adopted to select reliable fragments that are used to seek the location of the object. Then, the size of the bounding box is calculated with SIFT (Scale Invariant Feature Transform) keypoints modified via geometry constraints regularly. Finally, fragments are updated separately by combining SAD (Sum of Absolute Difference) with MGC (Major Gray Component) anti-projection to distinguish partial occlusion from appearance changes of the object itself every frame. Numerical experiments certificate that the proposed algorithm outperform state-of-the-art trackers on plentiful video sequences, especially, under conditions of scale changes of the object and occlusion. © 2015 Elsevier GmbH.
英文摘要: A novel online fragments-based scale invariant electro-optic tracking algorithm is proposed to deal with partial occlusion and cluttered background. First, the bounding box of the object is divided into equal-size fragments. A criterion based on FBE (Forward-Backward Error) is adopted to select reliable fragments that are used to seek the location of the object. Then, the size of the bounding box is calculated with SIFT (Scale Invariant Feature Transform) keypoints modified via geometry constraints regularly. Finally, fragments are updated separately by combining SAD (Sum of Absolute Difference) with MGC (Major Gray Component) anti-projection to distinguish partial occlusion from appearance changes of the object itself every frame. Numerical experiments certificate that the proposed algorithm outperform state-of-the-art trackers on plentiful video sequences, especially, under conditions of scale changes of the object and occlusion. © 2015 Elsevier GmbH.
收录类别: SCI ; Ei
语种: 英语
WOS记录号: WOS:000364272300035
ISSN号: 0030-4026
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/4451
Appears in Collections:光电探测技术研究室(三室)_期刊论文

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作者单位: 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
2. University of Chinese Academy of Sciences, Beijing, China

Recommended Citation:
Cui, Xiongwen,Wu, Qingzhang,Zhou, Jin. Online fragments-based scale invariant electro-optic tracking with SIFT[J]. Optik,2015,126(18):1720-1725.
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