Extended scale invariant local binary pattern for background subtraction

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 pro...

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Veröffentlicht in:	IET image processing Jg. 12; H. 8; S. 1292 - 1302
Hauptverfasser:	Zeng, Dongdong, Zhu, Ming, Xu, Fang, Zhou, Tongxue
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.08.2018
Schlagworte:	background scenes background sensitively effective background subtraction algorithm extended scale invariant local binary pattern feature extraction image colour analysis image segmentation image texture local texture features object detection photometric invariant colour measurement Research Article rich texture regions robust background subtraction algorithm video surveillance video surveillance systems well‐known change detection dataset effective background subtraction algorithm robust background subtraction algorithm object detection video surveillance systems image texture photometric invariant colour measurement background scenes local texture features well-known change detection dataset image segmentation feature extraction background sensitively rich texture regions image colour analysis video surveillance extended scale invariant local binary pattern
ISSN:	1751-9659, 1751-9667
Online-Zugang:	Volltext
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