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Face recognition in video surveillance systems as an application of smart cities

Face Detection and Recognition is an important surveillance problem to provide citizens� security. Nowadays, many citizen service areas as airports, railways, security services are starting to use face detection and recognition services because of their practicality and reliability. In our research,...

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Main Authors:	Omarov B., Omarov N., Sarbasova A., Sapakova S., Koishiyeva T., Kaliyev N., Koishibayev A.
Other Authors:	56127983700
Format:	Article
Published:	Little Lion Scientific 2023
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id	my.uniten.dspace-24653
record_format	dspace
spelling	my.uniten.dspace-246532023-05-29T15:25:32Z Face recognition in video surveillance systems as an application of smart cities Omarov B. Omarov N. Sarbasova A. Sapakova S. Koishiyeva T. Kaliyev N. Koishibayev A. Omarov B. 56127983700 57208003113 57031838300 57209294878 57209293853 57209291131 57209291156 57202103462 Face Detection and Recognition is an important surveillance problem to provide citizens� security. Nowadays, many citizen service areas as airports, railways, security services are starting to use face detection and recognition services because of their practicality and reliability. In our research, we explored face recognition algorithms and described facial recognition process applying Fisherface face recognition algorithm. This process is theoretically justified and tested with real-world outdoor video. The experimental results demonstrate practically applying of face detection from several foreshortenings and recognition results. The given system can be used in building a smart city as a smart city application. � 2005 - ongoing JATIT & LLS. Final 2023-05-29T07:25:32Z 2023-05-29T07:25:32Z 2019 Article 2-s2.0-85067236156 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067236156&partnerID=40&md5=7167e1981600aebd543b475ebede0a3b https://irepository.uniten.edu.my/handle/123456789/24653 97 9 2572 2583 Little Lion Scientific Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Face Detection and Recognition is an important surveillance problem to provide citizens� security. Nowadays, many citizen service areas as airports, railways, security services are starting to use face detection and recognition services because of their practicality and reliability. In our research, we explored face recognition algorithms and described facial recognition process applying Fisherface face recognition algorithm. This process is theoretically justified and tested with real-world outdoor video. The experimental results demonstrate practically applying of face detection from several foreshortenings and recognition results. The given system can be used in building a smart city as a smart city application. � 2005 - ongoing JATIT & LLS.
author2	56127983700
author_facet	56127983700 Omarov B. Omarov N. Sarbasova A. Sapakova S. Koishiyeva T. Kaliyev N. Koishibayev A. Omarov B.
format	Article
author	Omarov B. Omarov N. Sarbasova A. Sapakova S. Koishiyeva T. Kaliyev N. Koishibayev A. Omarov B.
spellingShingle	Omarov B. Omarov N. Sarbasova A. Sapakova S. Koishiyeva T. Kaliyev N. Koishibayev A. Omarov B. Face recognition in video surveillance systems as an application of smart cities
author_sort	Omarov B.
title	Face recognition in video surveillance systems as an application of smart cities
title_short	Face recognition in video surveillance systems as an application of smart cities
title_full	Face recognition in video surveillance systems as an application of smart cities
title_fullStr	Face recognition in video surveillance systems as an application of smart cities
title_full_unstemmed	Face recognition in video surveillance systems as an application of smart cities
title_sort	face recognition in video surveillance systems as an application of smart cities
publisher	Little Lion Scientific
publishDate	2023
_version_	1806426609994956800
score	13.211869

Face recognition in video surveillance systems as an application of smart cities

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