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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/10131
Title: Reliable real-time video background subtraction: mixture of Gaussians approach
Authors: Solovey, O. P.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2011
Publisher: БГУ
Citation: Международный конгресс по информатике: информационные системы и технологии: материалы международного научного конгресса 31 окт. – 3 нояб. 2011 г. : в 2 ч. Ч. 2. – Минск: БГУ, 2011. – C. 253-257.
Abstract: Background subtraction is a commonly used class of techniques for segmenting out objects of interest in the context of static camera for applications such as surveillance. Trivial background subtraction algorithms (e.g. frame differencing, median filter) can perform quite fast but they are not robust enough to be used in various computer vision problems. The main purpose of this paper is to present common background subtraction flow, describe Mixture of Gaussians model and discuss experimental results.
Description: Секция 9. Распознавание образов, информационные системы управления
URI: http://elib.bsu.by/handle/123456789/10131
ISBN: 978-985-518-564-3
Appears in Collections:2011. Международный конгресс по информатике : информационные системы и технологии. Часть 2.
Статьи факультета прикладной математики и информатики

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