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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" |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 124-125.pdf | 333,45 kB | Adobe PDF | View/Open |
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