Abstract
Given the fact that the eyes are one of the most important clues for the driver’s attention in cases of traffic accidents, we propose a robust method for accurate iris and pupil detection and parameter estimation. The latter can be used to infer the eye gaze. The presented video-based system is calibration-free and does not require any training procedure. We implemented and adapted an eye feature extraction technique using computer-vision methods and estimated pupil and iris parameters with the help of a polar representation of the eye image. In order to detect the glints (reflections on the eye cornea), caused by the infrared illumination mounted on the camera, we apply a corner detection algorithm. The experiment results show high applicability of the presented eye feature extraction on low resolution images.
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© 2014 Springer International Publishing Switzerland
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Tarayan, E., Höffken, M., Herta, A.S., Kressel, U. (2014). Iris and Pupil Measurement on Low Resolution Images for Driver Observation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_23
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DOI: https://doi.org/10.1007/978-3-319-14364-4_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14363-7
Online ISBN: 978-3-319-14364-4
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