Original scientific paper
https://doi.org/10.1080/00051144.2023.2203554
Real-time NIR camera brightness control using face detection
Jurica Vugrin
orcid.org/0000-0003-0866-8016
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Republic of Croatia
Sven Lončarić
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Republic of Croatia
Abstract
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.
Keywords
Near-infrared images; automatic brightness control; face detection; split-range feedback control; embedded systems; real-time image processing
Hrčak ID:
315884
URI
Publication date:
23.4.2023.
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