Title
A study on different experimental configurations for age, race, and gender estimation problems
Abstract
This paper presents a detailed study about different algorithmic configurations for estimating soft biometric traits. In particular, a recently introduced common framework is the starting point of the study: it includes an initial facial detection, the subsequent facial traits description, the data reduction step, and the final classification step. The algorithmic configurations are featured by different descriptors and different strategies to build the training dataset and to scale the data in input to the classifier. Experimental proofs have been carried out on both publicly available datasets and image sequences specifically acquired in order to evaluate the performance even under real-world conditions, i.e., in the presence of scaling and rotation.
Year
DOI
Venue
2015
10.1186/s13640-015-0089-y
EURASIP J. Image and Video Processing
Keywords
Field
DocType
LBP, CLBP, HOG, SWLD, Digital signage, Audience measurement
Computer vision,Pattern recognition,Computer science,Digital signage,Mathematical proof,Artificial intelligence,Biometrics,Classifier (linguistics),Scaling,Data reduction
Journal
Volume
Issue
ISSN
2015
1
1687-5281
Citations 
PageRank 
References 
4
0.39
55
Authors
5
Name
Order
Citations
PageRank
Pierluigi Carcagnì1317.19
Marco Del Coco2215.20
Dario Cazzato3306.67
Marco Leo46912.01
Cosimo Distante55315.36