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A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System
Joint Authors
Kim, Min-Gu
Moon, Hae-Min
Pan, Sung Bum
Chung, Yongwha
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems.
Biometrics techniques can be largely divided into traditional and the so-called soft biometrics.
Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height.
Traditional biometrics is versatile and highly accurate.
But it is very difficult to get traditional biometric data from a distance and without personal cooperation.
Soft biometrics, although featuring less accuracy, can be used much more freely though.
Recently, many researchers have been made on human identification using soft biometrics data collected from a distance.
In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.
American Psychological Association (APA)
Kim, Min-Gu& Moon, Hae-Min& Chung, Yongwha& Pan, Sung Bum. 2012. A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-485204
Modern Language Association (MLA)
Kim, Min-Gu…[et al.]. A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-485204
American Medical Association (AMA)
Kim, Min-Gu& Moon, Hae-Min& Chung, Yongwha& Pan, Sung Bum. A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-485204
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485204