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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Yunqi Yuan Meiling Song Xiaobing Liu Xiuxia Ouyang Jiangfan |
| Copyright Year | 2009 |
| Abstract | A composite algorithm is proposed to identify the opened and shut states of eye in real-time video. Sequentially, each frame of the video is processed first to find and separate the eye regions; then, the accumulation array of circular Hough transform is applied for detecting circles to recognize the opened state of the eye, and the upper eyelid curve is cal-culated to identify its bending direction to recognize the shut state; after that, if the state cannot be determined yet, judging by the standard deviation of distance between eyelids, the eye state of blinking is determined finally. An accuracy of 94% for eye state detection is obtained in our experiments by using the proposed algorithm. As an important part, the algorithm is going to be utilized in a fatigue warning system for drivers. |
| Starting Page | 554 |
| Ending Page | 559 |
| File Size | 435345 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424433346 |
| DOI | 10.1109/ICCET.2009.105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-22 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems eye state recognition Eyes Fatigue Light emitting diodes fatigue warning system Pattern recognition Real time video processing Face detection Eyelids Alarm systems Frequency Cameras drowsiness detection pattern recognition |
| Content Type | Text |
| Resource Type | Article |
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