Publication details
Driver Fatigue Detection Using Video Recording of Face
| Authors | |
|---|---|
| Year of publication | 2008 |
| Type | Article in Proceedings |
| Conference | Driver Car Interaction & Interface 2008 |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | fatigue detection; Active Appearance Model; man-machine system; operator support; statistics |
| Description | The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of "visual diagnostics" of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability. |
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