A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System.

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...

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Bibliographic Details
Published in:Journal of Biomedicine & Biotechnology Vol. 2012; pp. 1 - 8
Main Authors: Kim, Min-Gu, Moon, Hae-Min, Chung, Yongwha, Pan, Sung Bum
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Wiley-Blackwell 2012
Online Access:View this record in EBSCOhost
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      pub: Wiley-Blackwell
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        atl: A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System.
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          Kim, Min-Gu
          Moon, Hae-Min
          Chung, Yongwha
          Pan, Sung Bum
        affil: Department of Control and Instrumentation Engineering, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 501-759, Republic of Korea
      sug:
        subj:
          Biometrics
          Patient Identification
          Computers and Computerization
          Human
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
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        Journal Article
      ougenre: Article
    language: English
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