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  • 标题:Framework of Human Identification using Multi-Modal Biometrics
  • 本地全文:下载
  • 作者:Min-Gu Kim ; Hae-Min Moon ; Sung Bum Pan
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2012
  • 卷号:7
  • 期号:2
  • 出版社:SERSC
  • 摘要:Biometrics has been used to verify intrusion and identification of intruder in video surveillance system. Biometrics was divided into traditional biometrics and soft biometrics. Traditional biometrics is a method using information on face, iris, and fingerprint. Soft biometrics is a method using information on gender, ethnicity, and height. Recently, many researchers have been researched human identification using soft biometrics in long distance environment. In this paper, we analyze a human identification with applying traditional biometrics or soft biometrics suitable for video surveillance system. Also, we propose a framework to solve problems such as lighting, occlusion, and shadow.
  • 关键词:video surveillance; human identification; biometrics; soft biometrics.
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