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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.
Format: Article
Language:English
Published: 2020
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/13023
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spelling my.uniten.dspace-130232020-09-18T03:35:29Z 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. 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. 2020-02-03T03:29:50Z 2020-02-03T03:29:50Z 2019 Article http://dspace.uniten.edu.my/jspui/handle/123456789/13023 en
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/
language English
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.
format Article
author Omarov, B.
Omarov, N.
Sarbasova, A.
Sapakova, S.
Koishiyeva, T.
Kaliyev, N.
Koishibayev, A.
spellingShingle Omarov, B.
Omarov, N.
Sarbasova, A.
Sapakova, S.
Koishiyeva, T.
Kaliyev, N.
Koishibayev, A.
Face recognition in video surveillance systems as an application of smart cities
author_facet Omarov, B.
Omarov, N.
Sarbasova, A.
Sapakova, S.
Koishiyeva, T.
Kaliyev, N.
Koishibayev, A.
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
publishDate 2020
url http://dspace.uniten.edu.my/jspui/handle/123456789/13023
_version_ 1678595887732883456
score 13.214268

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