RT info:eu-repo/semantics/conferencePaper
T1 Assessment of age estimation methods for forensic applications using non-occluded and synthetic occluded facial images
A1 Jeuland, Elouan Derenee
A1 Río Ferreras, Aitor del
A1 Chaves, Deisy
A1 Fidalgo Fernández, Eduardo
A1 González Castro, Víctor
A1 Alegre Gutiérrez, Enrique
A2 Ingenieria de Sistemas y Automatica
K1 Ingeniería de sistemas
K1 Age estimation
K1 Deep Learning
K1 Facial occlusion
K1 CSEM
K1 3310.05 Ingeniería de Procesos
AB [EN] Age estimation is a valuable forensic tool for criminal investigators since it helps to identify minors or possibleoffenders in Child Sexual Exploitation Materials (CSEM). Nowadays, Deep Learning methods are consideredstate-of-the-art for general age estimation. However, they have low performance in predicting the age ofminors and older adults because of the few examples of these age groups in the existing datasets. Moreover,facial occlusion is used by offenders in certain CSEM, trying to hide the identity of the victims, which may alsoaffect the performance of age estimators. In this work, we assess the performance of six deep-learning-basedage estimators on non-occluded and occluded facial images. We selected FG-Net and APPA-REAL datasetsto evaluate the models under non-occluded conditions. To assess the models under occluded conditions, wecreated synthetically occluded versions of the non-occluded datasets by drawing eye and mouth black masks tosimulate the conditions observed in some CSEM images. Experimental results showed that the evaluated ageestimators are affected more by eye occlusion than by mouth occlusion. Also, facial occlusion affects morethe accuracy of the age estimation of minors and the elderly compared to other age groups. We expect thatthis study could become an initial benchmark for age estimation under non-occluded and occluded conditions,especially for forensic applications like victim profiling on CSEM where age estimation is essential.
PB Universidade da Coruña, Servizo de Publicacións
SN 978‐84‐9749‐841‐8
LK https://hdl.handle.net/10612/17289
UL https://hdl.handle.net/10612/17289
NO Jeuland, E.D., Río Ferreras, A. del, Chaves, D., Fidalgo Fernández, E., González Castro, V., Alegre Gutiérrez, E. (2022). Assessment of age estimation methods for forensic applications using non-occluded and synthetic occluded facial images. En XLIII Jornadas de Automática : libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja).
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 30-may-2024