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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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/7918165 |
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| _version_ | 1849399227544764416 |
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| author | Huy Nguyen Quoc Vinh Truong Hoang |
| author_facet | Huy Nguyen Quoc Vinh Truong Hoang |
| author_sort | Huy Nguyen Quoc |
| collection | DOAJ |
| 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 |
| id | doaj-art-a3d0c33c5b4248b5a4a36ae16b15df7b |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a3d0c33c5b4248b5a4a36ae16b15df7b2025-08-20T03:38:23ZengWileyComplexity1099-05262021-01-01202110.1155/2021/7918165Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFaceHuy Nguyen Quoc0Vinh Truong Hoang1Ho Chi Minh City Open UniversityHo Chi Minh City Open UniversityBiometric 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.http://dx.doi.org/10.1155/2021/7918165 |
| spellingShingle | Huy Nguyen Quoc Vinh Truong Hoang Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace Complexity |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2021/7918165 |
| work_keys_str_mv | AT huynguyenquoc realtimehumaneardetectionbasedonthejointofyoloandretinaface AT vinhtruonghoang realtimehumaneardetectionbasedonthejointofyoloandretinaface |