Soft biometrics is a new form of biometric identification which utilizes labeled physical or behavioral traits. Al though these traits intuitively have less discriminatory ca pability than mens urate approaches, they offer several ad vantages over traditional biometric techniques. Soft bio metric traits can be typically described as labels and mea surements which can be understood by people, allowing re trieval 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 descrip tions 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 com parative human descriptions. This innovative approach to obtaining human descriptions has been shown to counter many problems associated with categorical (absolute) la bels. 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.
Reid et al. REF use soft biometrics to retrieve specified subjects in surveillance video data.
Using comparative human descriptions for soft biometrics
2011 International Joint Conference on Biometrics (IJCB)
2011 International Joint Conference on Biometrics (IJCB)
Computer Science