Eyes location by regional features and knowledge matching for driver fatigue detection

Authors:
Wang XianMei;Chi JianNan;Wang ZhiLiang
Affiliations:
School of Information Engineering, University of Science and Technology Beijing, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 3
Cited 0

Statistical color models with application to skin detection

International Journal of Computer Vision
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison

IEEE Transactions on Pattern Analysis and Machine Intelligence
A probabilistic framework for modeling and real-time monitoring human fatigue

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental results show that the new method is efficient and robust to images in different rotation angles. It can work effectively with no limits to the open eyes, two eyebrows or two eyes. The mismatching of the eyebrow and eye on the different side can also be decrease.