Fatigue is a large and growing problem for aviators and motor vehicle drivers. A fatigue countermeasure based on digital video processing of images of the subject's face has been developed. Digital video data of drivers was collected in experiments in a driving simulator. Algorithms were developed to automatically locate the head, eyes, and face features of the driver using wide field-of-view images. The exposed eye area is quantified using the final eye target location. Automatic processing of face features in a vehicle environment is a difficult task due to the complexity of the scene and the variable lighting conditions. The use of both static and dynamic processing in parallel, and the use of symmetry has lead to the development of innovative and useful algorithms for automatic face location and feature detection.
Fatigue Evaluation and Countermeasures using Real-Time Video Analysis
2001
29 pages
Report
Keine Angabe
Englisch
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