Naslov
Real-time NIR camera brightness control using face detection

Autori
Vugrin, Jurica ; Lončarić, Sven

Izvornik
Automatika (0005-1144) 64 (2023), 3; 593-605

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Near-infrared images ; automatic brightness control ; face detection ; split-range feedback control ; embedded systems ; real-time image processing

Sažetak
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 pro-posed, which properly adjusts the brightness of the face part of the image. A novel algorithm forapproximatefaceregiondetectionbasedonspatio- temporalsampledskindetectionisproposedtogether 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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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