• DocumentCode
    2847713
  • Title

    Using comparative human descriptions for soft biometrics

  • Author

    Reid, Daniel A. ; Nixon, Mark S.

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
  • fYear
    2011
  • fDate
    11-13 Oct. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Soft biometrics is a new form of biometric identification which utilizes labeled physical or behavioral traits. Al though these traits intuitively have less discriminatory capability than mensurate approaches, they offer several ad vantages over traditional biometric techniques. Soft bio metric traits can be typically described as labels and measurements which can be understood by people, allowing retrieval and recognition based solely on human descriptions. Although being a key component of eyewitness evidence, conventional human descriptions can be considered to be unreliable. A novel method of obtaining human descriptions will be introduced which utilizes visual comparisons between subjects. The Elo rating system is used to infer relative measurements of subjects´ traits based on the comparative human descriptions. This innovative approach to obtaining human descriptions has been shown to counter many problems associated with categorical (absolute) labels. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate retrieval of subjects in video data and show that elapsed time can have little effect on comparative descriptions.
  • Keywords
    behavioural sciences computing; biometrics (access control); video retrieval; video surveillance; Elo rating system; behavioral traits; biometric identification; biometric technique; comparative human description; eyewitness evidence; infer relative measurement; soft biometric signature; soft biometric trait; video data retrieval; Educational institutions; Equations; Estimation; Hip; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics (IJCB), 2011 International Joint Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-1358-3
  • Electronic_ISBN
    978-1-4577-1357-6
  • Type

    conf

  • DOI
    10.1109/IJCB.2011.6117513
  • Filename
    6117513