КФУ. Карточка публикации. Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

RUS

- EN
- 中文
- ES

SURVEILLANCE VIDEO-BASED OBJECT DETECTION BY FEATURE EXTRACTION AND CLASSIFICATION USING DEEP LEARNING ARCHITECTURE

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2023

Язык

английский

Авторы, сотрудники КФУ

Ахметшин Эльвир Мунирович, автор

Библиографическое описание на языке оригинала

Akhmetshin E, Sultanova S, Anupama C.S.S, Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture//Smart Innovation, Systems and Technologies. - 2023. - Vol.371, Is.. - P.369-378.

Аннотация

As of late, deep learning has accomplished top exhibitions in object recognition undertakings. Be that as it may, continuously, frameworks having memory or processing restrictions extremely wide and profound organizations with various boundaries comprise a significant impediment. Profound gaining-based object location arrangements arose out of PC vision has spellbound undivided focus as of late. This examination proposes novel method in observation video-based object location by highlight extraction with characterization utilizing profound learning. Here the info information has been gathered as observation video and handled for commotion expulsion, smoothening, standardization. Then, at that point, the handled video has been separated and ordered utilizing concealed convolution fluffy perception brain organizations.

Ключевые слова

Deep learning

Название журнала

Smart Innovation, Systems and Technologies

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178643635&doi=10.1007%2f978-981-99-6706-3_32&partnerID=40&md5=81dccc13633d73149df0ce487c7407a7

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=292707

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Ахметшин Эльвир Мунирович	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Akhmetshin E, Sultanova S, Anupama C.S.S, Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture//Smart Innovation, Systems and Technologies. - 2023. - Vol.371, Is.. - P.369-378.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=292707	ru_RU
dc.description.abstract	Smart Innovation, Systems and Technologies	ru_RU
dc.description.abstract	As of late, deep learning has accomplished top exhibitions in object recognition undertakings. Be that as it may, continuously, frameworks having memory or processing restrictions extremely wide and profound organizations with various boundaries comprise a significant impediment. Profound gaining-based object location arrangements arose out of PC vision has spellbound undivided focus as of late. This examination proposes novel method in observation video-based object location by highlight extraction with characterization utilizing profound learning. Here the info information has been gathered as observation video and handled for commotion expulsion, smoothening, standardization. Then, at that point, the handled video has been separated and ordered utilizing concealed convolution fluffy perception brain organizations.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU