49682

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Semantic video segmentation with using ensemble of particular classifiers and a deep neural network for systems of detecting abnormal situations

ISBN/ISSN: 

(Print): 2204-0595 ISSN (Online): 2203-1731

Наименование источника: 

  • INFORMATION TECHNOLOGY IN INDUSTRY

Обозначение и номер тома: 

Vol 6, No 1.

Город: 

  • Australia

Издательство: 

  • LA TROBE UNIV, DEPT COMPUTER SCIENCE & COMPUTER ENGINEERING

Год издания: 

2018

Страницы: 

14–19
Аннотация
A new approach based on the use of a deep neural network and an ensemble of particular classifiers is proposed. This approach is based on use of the novel block of fuzzy generalization for combines classes of objects into semantic groups, each of which corresponds to one or more particular classifiers. As result of processing, the sequence of frames is converted into the annotation of the event occurring in the video for a certain time interval.

Библиографическая ссылка: 

Амосов О.С., Иванов Ю.С., Жиганов С.В. Semantic video segmentation with using ensemble of particular classifiers and a deep neural network for systems of detecting abnormal situations // INFORMATION TECHNOLOGY IN INDUSTRY. 2018. Vol 6, No 1. С. 14–19.