Extended scale invariant local binary pattern for background subtraction

doi:10.1049/iet-ipr.2016.1026

CIOMP OpenIR

	Extended scale invariant local binary pattern for background subtraction
	Zeng, D. D.; Zhu, M.; Xu, F.; Zhou, T. X.
	2018
发表期刊	Iet Image Processing
ISSN	1751-9659
卷号	12 期号:8 页码:1292-1302
摘要	Background subtraction based on change detection is the first step in many video surveillance systems, an effective background subtraction algorithm should distinguish foreground from the background sensitively, and adapt to the variation of background scenes robustly. In this study, the authors propose a robust background subtraction algorithm which takes advantages of local texture features represented by an extended scale invariant local binary pattern and colour intensities to characterise pixel representations. Local texture features achieve good tolerance against illumination variations in rich texture regions but not so efficiently on uniform regions, so a photometric invariant colour measurement is proposed to overcome its limitation. Both quantitative and qualitative evaluations carried out on a well- known change detection dataset are provided to demonstrate the effectiveness of the proposed algorithm.
关键词	visual surveillance density-estimation segmentation objects scenes model Computer Science Engineering Imaging Science & Photographic Technology
DOI	10.1049/iet-ipr.2016.1026
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60989
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Zeng, D. D.,Zhu, M.,Xu, F.,et al. Extended scale invariant local binary pattern for background subtraction[J]. Iet Image Processing,2018,12(8):1292-1302.
APA	Zeng, D. D.,Zhu, M.,Xu, F.,&Zhou, T. X..(2018).Extended scale invariant local binary pattern for background subtraction.Iet Image Processing,12(8),1292-1302.
MLA	Zeng, D. D.,et al."Extended scale invariant local binary pattern for background subtraction".Iet Image Processing 12.8(2018):1292-1302.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Extended scale invar（4129KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文