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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/225258
Title: Автоматизированная система выделения движущихся объектов на видеоизображении на базе рекуррентной нейронной сети
Authors: Емельянов, И. А.
Евсеенко, И. А.
Issue Date: 2014
Publisher: Минск : Изд. центр БГУ
Citation: Сборник научных работ студентов Республики Беларусь "НИРС 2013" / редкол. : А. И. Жук (пред.) [и др.]. - Минск : Изд. центр БГУ, 2014. - С. 124-125.
Abstract: This paper describes the recurrent and spiking neural network models used for detection of moving objects on video and creation of a motion detector. They released the moving object detection automated system based on the recurrent neural network and investigated ways of integration of programs developed using object-oriented programming languages (e.g. C#) with the visual processing framework ‘AForge.NET’ and the multimedia framework ‘DirectShow’. The most effective methods of the framework ‘AForge.NET’ are selected for visual processing
URI: http://elib.bsu.by/handle/123456789/225258
ISBN: 978-985-553-227-0
Appears in Collections:Сборник научных работ студентов Республики Беларусь "НИРС 2013"

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