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A drowsiness detection method based on displacementand gradient vectors |
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| รหัสดีโอไอ | |
| Creator | 1. Sorn Sooksatra 2. Toshiaki Kondo 3. Pished Bunnun 4. Astuo Yoshitaka |
| Title | A drowsiness detection method based on displacementand gradient vectors |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2561 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 40 |
| Journal No. | 3 |
| Page no. | 602 |
| Keyword | drowsiness detection, gradient vectors, displacement vectors, infrared LEDs, face detection |
| URL Website | http://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | This paper presents a drowsiness detection method for drivers based on visual features in a video sequence. Imageintensities are traditionally visual features. However, it is known that they are directly influenced by lighting conditions. Wepropose a human eye detection method using the normalized cross-correlation between displacement vectors and gradientvectors. Gradient vectors are dependent on lighting conditions but the normalization step makes them independent ofilluminations. In this way, the proposed method can detect human eyes regardless of various lighting conditions. We have alsofound that normalized cross-correlation can be useful, not only for detecting eyes, but also for recognizing open and closed eyestates. To overcome poor lighting conditions, we used infrared auxiliary illumination in order to make the proposed method workevery moment. The computation speed of the proposed method is fast enough to perform at video rates. |
