Abstract
In this paper, a vision system for monitoring driver's vigilance is presented. The level of vigilance is determined by integrating a number of facial parameters. In order to estimate these parameters, the facial features of eyes, mouth and head are first located in the input video sequence. The located facial features are then tracked over the subsequent images. Facial parameters are estimated during facial feature tracking. The estimated parametric values are collected and analyzed every fixed time interval to provide a real-time vigilance level of the driver. A series of experiments on real sequences were demonstrated to reveal the feasibility of the proposed system.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE 71st Vehicular Technology |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan Duration: 2010 May 16 → 2010 May 19 |
Other
| Other | 2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 10/5/16 → 10/5/19 |
Keywords
- Driver's vigilance monitoring
- Facial parameters
- Fuzzy reasoning
- In-vehicle vision system
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
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Cite this
Yao, K. P., Lin, W. H., Fang, C. Y., Wang, J. M., Chang, S. L., & Chen, S. W. (2010). Real-time vision-based driver drowsiness/fatigue detection system. In 2010 IEEE 71st Vehicular Technology [5493972] https://doi.org/10.1109/VETECS.2010.5493972