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dc.contributor | Escuela de Ingenierias Industrial, Informática y Aeroespacial | es_ES |
dc.contributor.author | Carofilis Vasco, Roberto Andrés | |
dc.contributor.author | Chaves, Deisy | |
dc.contributor.author | Martínez Mendoza, Alicia | |
dc.contributor.author | Fidalgo Fernández, Eduardo | |
dc.contributor.author | González Castro, Víctor | |
dc.contributor.author | Alegre Gutiérrez, Enrique | |
dc.contributor.editor | Blanco Fernández, Yolanda | |
dc.contributor.editor | Fernández Veiga, Manuel | |
dc.contributor.editor | Fernández Vilas, Ana | |
dc.contributor.editor | Fuentes, José M. de | |
dc.contributor.other | Ingenieria de Sistemas y Automatica | es_ES |
dc.date | 2023-06 | |
dc.date.accessioned | 2024-05-13T12:38:06Z | |
dc.date.available | 2024-05-13T12:38:06Z | |
dc.identifier.citation | Vasco, R. A. C., Sánchez, D. C., Mendoza, A. M., Fernández, E. F., Castro, V. G., & Gutiérrez, E. A. (2023). Impact of facial occlusions in age estimation algorithms for forensic applications. In Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023 (pp. 497-498). Universidade de Vigo. | es_ES |
dc.identifier.isbn | 978-84-8158-970-2 | es_ES |
dc.identifier.other | https://www.investigo.biblioteca.uvigo.es/xmlui/handle/11093/4952 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/20673 | |
dc.description.abstract | [EN] Age estimation is a critical tool for identifying minors and potential offenders in Child Sexual Exploitation Materials (CSEM). However, deep learning methods, which are the current state-of-the-art for age estimation, have low accuracy in predicting the age of minors and older adults due to a lack of data in existing datasets. In addition, facial occlusion, used to hide victims’ identities in some CSEM, can further impact the accuracy of age estimators. This study evaluates the performance of six deep learningbased age estimators on facial images with and without occlusion. To simulate CSEM conditions, we used non-occluded datasets (i.e., FG-Net and APPA-REAL), and also synthetically occluded versions with black masks of these datasets. Results indicate that age estimators are more affected by eye occlusion than by mouth occlusion and facial occlusion affects minors and the elderly more than other age groups. This study could serve as a reference for the estimation of age in forensic applications such as victim profiling on CSEM. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Universidade de Vigo | es_ES |
dc.relation.ispartof | Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023 | es_ES |
dc.subject | Cibernética | es_ES |
dc.subject | Ingeniería de sistemas | es_ES |
dc.subject.other | Age estimation | es_ES |
dc.subject.other | Deep Learning | es_ES |
dc.subject.other | Facial occlusion | es_ES |
dc.subject.other | CSEM | es_ES |
dc.title | Impact of facial occlusions in age estimation algorithms for forensic applications | es_ES |
dc.type | info:eu-repo/semantics/conferencePaper | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/883341/EU | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.page.initial | 497 | es_ES |
dc.page.final | 498 | es_ES |
dc.subject.unesco | 3304.05 Sistemas de Reconocimiento de Caracteres | es_ES |
dc.subject.unesco | 1207.03 Cibernética | es_ES |
dc.description.project | This work has been supported by the grant Junta de Castilla y Leon (EDU/875/2021) and the support of the European Union’s Horizon 2020 Research and Innovation Framework Programme, H2020 SU-FCT-2019 under the GRACE project with Grant Agreement 883341. This publication reflects the views only of the authors, and the European Union’s Horizon 2020 Research and Innovation Framework Programme, H2020 SU-FCT-2019 cannot be held responsible for any use which may be made of the information contained therein. | es_ES |
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