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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ilkwon Park Jung-Ho Ahn Hyeran Byun |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. Of Comput. Sci., Yonsei Univ. (Ilkwon Park; Jung-Ho Ahn; Hyeran Byun) |
| Abstract | In this paper, we propose an efficient way of measuring the level of eye blinking under various illumination conditions (such as day and night) for drowsiness detection systems which use a single camera. Determining the level of drowsiness by using eye blinking, it is an important way of detecting eye positions and measuring eyelid movements. For robust eye detection under various illumination conditions, we propose a simple illumination compensation algorithm and a novel way of measuring of eyelid movements. In order to estimate the performance of the proposed methods, we collected video data during real driving situations under various illumination conditions, such as during the day and during the night. Experimental results demonstrate an average eye detection rate of over 98% and an accurate measurement of eye blinking when using the proposed drowsiness detection system |
| Sponsorship | IEEE CPS |
| Starting Page | 383 |
| Ending Page | 386 |
| File Size | 835627 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.476 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lighting Cameras Motion measurement Eyelids Robustness Monitoring Infrared imaging Light sources Light emitting diodes Computer science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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