Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace

Biometric traits gradually proved their importance in real-life applications, especially in identification field. Among the available biometric traits, the unique shape of the human ear has also received loads of attention from scientists through the years. Hence, numerous ear-based approaches have...

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Autores principales:	Huy Nguyen Quoc, Vinh Truong Hoang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/a3d0c33c5b4248b5a4a36ae16b15df7b
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spelling	oai:doaj.org-article:a3d0c33c5b4248b5a4a36ae16b15df7b2021-11-22T01:10:53ZReal-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace1099-052610.1155/2021/7918165https://doaj.org/article/a3d0c33c5b4248b5a4a36ae16b15df7b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7918165https://doaj.org/toc/1099-0526Biometric traits gradually proved their importance in real-life applications, especially in identification field. Among the available biometric traits, the unique shape of the human ear has also received loads of attention from scientists through the years. Hence, numerous ear-based approaches have been proposed with promising performance. With these methods, plenty problems can be solve by the distinctiveness of ear features, such as recognizing human with mask or diagnose ear-related diseases. As a complete identification system requires an effective detector for real-time application, and the current richness and variety of ear detection algorithms are poor due to the small and complex shape of human ears. In this paper, we introduce a new human ear detection pipeline based on the YOLOv3 detector. A well-known face detector named RetinaFace is also added in the detection system to narrow the regions of interest and enhance the accuracy. The proposed method is evaluated on an unconstrained dataset, which shows its effectiveness.Huy Nguyen QuocVinh Truong HoangHindawi-WileyarticleElectronic computers. Computer scienceQA75.5-76.95ENComplexity, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 Huy Nguyen Quoc Vinh Truong Hoang Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
description	Biometric traits gradually proved their importance in real-life applications, especially in identification field. Among the available biometric traits, the unique shape of the human ear has also received loads of attention from scientists through the years. Hence, numerous ear-based approaches have been proposed with promising performance. With these methods, plenty problems can be solve by the distinctiveness of ear features, such as recognizing human with mask or diagnose ear-related diseases. As a complete identification system requires an effective detector for real-time application, and the current richness and variety of ear detection algorithms are poor due to the small and complex shape of human ears. In this paper, we introduce a new human ear detection pipeline based on the YOLOv3 detector. A well-known face detector named RetinaFace is also added in the detection system to narrow the regions of interest and enhance the accuracy. The proposed method is evaluated on an unconstrained dataset, which shows its effectiveness.
format	article
author	Huy Nguyen Quoc Vinh Truong Hoang
author_facet	Huy Nguyen Quoc Vinh Truong Hoang
author_sort	Huy Nguyen Quoc
title	Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
title_short	Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
title_full	Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
title_fullStr	Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
title_full_unstemmed	Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace
title_sort	real-time human ear detection based on the joint of yolo and retinaface
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/a3d0c33c5b4248b5a4a36ae16b15df7b
work_keys_str_mv	AT huynguyenquoc realtimehumaneardetectionbasedonthejointofyoloandretinaface AT vinhtruonghoang realtimehumaneardetectionbasedonthejointofyoloandretinaface
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Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace

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