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Face recognition-based real-time system for surveillance

The ability to automatically recognize human faces based on dynamic facial images is important in security, surveillance and the health/independent living domains. Specific applications include access control to secure environments, identification of individuals at a particular place and intruder de...

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Main Authors: Mahdi, F.P., Habib, M.M., Ahad, M.A.R., McKeever, S., Moslehuddin, A.S.M., Vasant, P.
Format: Article
Published: IOS Press 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018720720&doi=10.3233%2fIDT-160279&partnerID=40&md5=10958955b672ff101626dd319a38bef4
http://eprints.utp.edu.my/19840/
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spelling my.utp.eprints.198402018-04-22T13:07:23Z Face recognition-based real-time system for surveillance Mahdi, F.P. Habib, M.M. Ahad, M.A.R. McKeever, S. Moslehuddin, A.S.M. Vasant, P. The ability to automatically recognize human faces based on dynamic facial images is important in security, surveillance and the health/independent living domains. Specific applications include access control to secure environments, identification of individuals at a particular place and intruder detection. This research proposes a real-time system for surveillance using cameras. The process is broken into two steps: (1) face detection and (2) face recognition to identify particular persons. For the first step, the system tracks and selects the faces of the detected persons. An efficient recognition algorithm is then used to recognize detected faces with a known database. The proposed approach exploits the Viola-Jones method for face detection, the Kanade-Lucas-Tomasi algorithm as a feature tracker and Principal Component Analysis (PCA) for face recognition. This system can be implemented at different restricted areas, such as at the office or house of a suspicious person or at the entrance of a sensitive installation. The system works almost perfectly under reasonable lighting conditions and image depths. © 2017-IOS Press and the authors. All rights reserved. IOS Press 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018720720&doi=10.3233%2fIDT-160279&partnerID=40&md5=10958955b672ff101626dd319a38bef4 Mahdi, F.P. and Habib, M.M. and Ahad, M.A.R. and McKeever, S. and Moslehuddin, A.S.M. and Vasant, P. (2017) Face recognition-based real-time system for surveillance. Intelligent Decision Technologies, 11 (1). pp. 79-92. http://eprints.utp.edu.my/19840/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The ability to automatically recognize human faces based on dynamic facial images is important in security, surveillance and the health/independent living domains. Specific applications include access control to secure environments, identification of individuals at a particular place and intruder detection. This research proposes a real-time system for surveillance using cameras. The process is broken into two steps: (1) face detection and (2) face recognition to identify particular persons. For the first step, the system tracks and selects the faces of the detected persons. An efficient recognition algorithm is then used to recognize detected faces with a known database. The proposed approach exploits the Viola-Jones method for face detection, the Kanade-Lucas-Tomasi algorithm as a feature tracker and Principal Component Analysis (PCA) for face recognition. This system can be implemented at different restricted areas, such as at the office or house of a suspicious person or at the entrance of a sensitive installation. The system works almost perfectly under reasonable lighting conditions and image depths. © 2017-IOS Press and the authors. All rights reserved.
format Article
author Mahdi, F.P.
Habib, M.M.
Ahad, M.A.R.
McKeever, S.
Moslehuddin, A.S.M.
Vasant, P.
spellingShingle Mahdi, F.P.
Habib, M.M.
Ahad, M.A.R.
McKeever, S.
Moslehuddin, A.S.M.
Vasant, P.
Face recognition-based real-time system for surveillance
author_facet Mahdi, F.P.
Habib, M.M.
Ahad, M.A.R.
McKeever, S.
Moslehuddin, A.S.M.
Vasant, P.
author_sort Mahdi, F.P.
title Face recognition-based real-time system for surveillance
title_short Face recognition-based real-time system for surveillance
title_full Face recognition-based real-time system for surveillance
title_fullStr Face recognition-based real-time system for surveillance
title_full_unstemmed Face recognition-based real-time system for surveillance
title_sort face recognition-based real-time system for surveillance
publisher IOS Press
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018720720&doi=10.3233%2fIDT-160279&partnerID=40&md5=10958955b672ff101626dd319a38bef4
http://eprints.utp.edu.my/19840/
_version_ 1738656126762745856
score 13.211869

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