中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Online fragments-based scale invariant electro-optic tracking with SIFT

文献类型:期刊论文

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
ISSN号0030-4026
通讯作者Cui, Xiongwen
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.
学科主题Optical properties
收录类别SCI ; EI
语种英语
WOS记录号WOS:000364272300035
源URL[http://ir.ioe.ac.cn/handle/181551/4451]  
专题光电技术研究所_光电探测技术研究室(三室)
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
推荐引用方式
GB/T 7714
Cui, Xiongwen,Wu, Qingzhang,Zhou, Jin. Online fragments-based scale invariant electro-optic tracking with SIFT[J]. Optik,2015,126(18):1720-1725.
APA Cui, Xiongwen,Wu, Qingzhang,&Zhou, Jin.(2015).Online fragments-based scale invariant electro-optic tracking with SIFT.Optik,126(18),1720-1725.
MLA Cui, Xiongwen,et al."Online fragments-based scale invariant electro-optic tracking with SIFT".Optik 126.18(2015):1720-1725.

入库方式: OAI收割

来源:光电技术研究所

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