Two-stages based facial demographic ...
Document type :
Article dans une revue scientifique: Article original
Title :
Two-stages based facial demographic attributes combination for age estimation
Author(s) :
Zighem, Mohammed-En-Nadhir [Auteur correspondant]
University of Biskra Mohamed Khider
Ouafi, Abdelkrim [Auteur]
University of Biskra Mohamed Khider
Zitouni, Athmane [Auteur]
University of Biskra Mohamed Khider
Ruichek, Yassine [Auteur]
Université de Technologie de Belfort-Montbeliard [UTBM]
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 [IEMN-DOAE]
University of Biskra Mohamed Khider
Ouafi, Abdelkrim [Auteur]
University of Biskra Mohamed Khider
Zitouni, Athmane [Auteur]
University of Biskra Mohamed Khider
Ruichek, Yassine [Auteur]
Université de Technologie de Belfort-Montbeliard [UTBM]
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 [IEMN-DOAE]
Journal title :
Journal of Visual Communication and Image Representation
Pages :
236-249
Publisher :
Elsevier
Publication date :
2019-05
ISSN :
1047-3203
English keyword(s) :
"Age estimation"
"Demographic classification"
"Feature extraction"
"SVR"
"SVM"
"Demographic classification"
"Feature extraction"
"SVR"
"SVM"
HAL domain(s) :
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
English abstract : [en]
Automatic age estimation from face images is a topic of growing interest nowadays, because of its great value in various applications. The main challenge in automatic facial age estimation task comes from the large intra-class ...
Show more >Automatic age estimation from face images is a topic of growing interest nowadays, because of its great value in various applications. The main challenge in automatic facial age estimation task comes from the large intra-class facial appearance variations due to both gender and race attributes. To this end, in this paper we propose a complete approach for age estimation based on demographic classification. The proposed approach consists of three main parts: (1) Automatic face detection and alignment to extract only the regions of interest. (2) Feature extraction from facial region images using Multi-level face representation. (3) Two-Stages age Estimation (TSE). The main idea of TSE is to classify the input face image into one of demographic classes, then estimate age within the identified demographic class. The experimental results demonstrate that our proposed approach can offer better performance for age estimation when compared to the state-of-the-art methods on MORPH-II, PAL and a subset of LFW databases.Show less >
Show more >Automatic age estimation from face images is a topic of growing interest nowadays, because of its great value in various applications. The main challenge in automatic facial age estimation task comes from the large intra-class facial appearance variations due to both gender and race attributes. To this end, in this paper we propose a complete approach for age estimation based on demographic classification. The proposed approach consists of three main parts: (1) Automatic face detection and alignment to extract only the regions of interest. (2) Feature extraction from facial region images using Multi-level face representation. (3) Two-Stages age Estimation (TSE). The main idea of TSE is to classify the input face image into one of demographic classes, then estimate age within the identified demographic class. The experimental results demonstrate that our proposed approach can offer better performance for age estimation when compared to the state-of-the-art methods on MORPH-II, PAL and a subset of LFW databases.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
JIF=2.479
Source :
Files
- document
- Open access
- Access the document
- ZIGHEM_Mohammed-En-nadhir_JVCIR_2019.pdf
- Open access
- Access the document