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- W276445467 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." @default.
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- W276445467 date "2014-01-01" @default.
- W276445467 modified "2023-10-01" @default.
- W276445467 title "Iris and Pupil Measurement on Low Resolution Images for Driver Observation" @default.
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- W276445467 doi "https://doi.org/10.1007/978-3-319-14364-4_23" @default.
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