Soft biometric analysis aims at recognizing personal traits that provide some information about the individual. In this paper, we implemented and compared several approaches for soft biometric analysis in order to analyze humans soft biometric traits: age, gender, presence of eyeglasses and beard. Convolutional Neural Netoworks can be successfully used to understand soft biometric traits of passers-by looking at public displays and at shop windows.

A comparative study on soft biometric approaches to be used in retail stores

De Carolis B.
;
Palestra G.
2018

Abstract

Soft biometric analysis aims at recognizing personal traits that provide some information about the individual. In this paper, we implemented and compared several approaches for soft biometric analysis in order to analyze humans soft biometric traits: age, gender, presence of eyeglasses and beard. Convolutional Neural Netoworks can be successfully used to understand soft biometric traits of passers-by looking at public displays and at shop windows.
978-3-030-01850-4
978-3-030-01851-1
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/240088
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