Academic Journal
Real-time NIR camera brightness control using face detection
| العنوان: | Real-time NIR camera brightness control using face detection |
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| المؤلفون: | Jurica Vugrin, Sven Lončarić |
| المصدر: | Automatika, Vol 64, Iss 3, Pp 593-605 (2023) |
| بيانات النشر: | Taylor & Francis Group, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Automation |
| مصطلحات موضوعية: | Near-infrared images, automatic brightness control, face detection, split-range feedback control, embedded systems, real-time image processing, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5 |
| الوصف: | The face image analysis field is a well-established research area in computer vision and image processing. An important requirement for accurate face image analysis is a high-quality input face image. In different real-life scenarios, however, the face is often not properly illuminated, which makes the face analysis very difficult or impossible to accomplish. Although a better performance is obtained by changing the spectrum from visible to near-infrared, it is still not enough for extreme illumination conditions. To obtain a high-quality near-infrared face image, a fast automatic brightness control method using approximate face region detection is proposed, which properly adjusts the brightness of the face part of the image. A novel algorithm for approximate face region detection based on spatio-temporal sampled skin detection is proposed together with the split-range feedback controller and the face absence handle. The proposed method is much faster than state-of-the-art solutions and accurate in approximate face region detection. The complete execution time is lower than 10 milliseconds which makes it suitable for hard real-time embedded system implementation and usage, while the reference brightness value is achieved within 10–15 frames, making it robust to extreme illumination conditions in a scene. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 00051144 1848-3380 0005-1144 |
| Relation: | https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380 |
| DOI: | 10.1080/00051144.2023.2203554 |
| URL الوصول: | https://doaj.org/article/900cf8955903430d8de8e29d1c996702 |
| رقم الانضمام: | edsdoj.900cf8955903430d8de8e29d1c996702 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 00051144 18483380 |
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| DOI: | 10.1080/00051144.2023.2203554 |