Title

Determining driver visual attention with one camera

Authors

Authors

P. Smith; M. Shah;N. D. Lobo

Abbreviated Journal Title

IEEE Trans. Intell. Transp. Syst.

Keywords

automatic vision surveillance; driver activity tracking; driver visual; attention monitoring; in-car camera systems; Engineering, Civil; Engineering, Electrical & Electronic; Transportation; Science & Technology

Abstract

This paper presents a system for analyzing human driver visual attention. The system relies on estimation of global motion and color statistics to robustly track a person's head and facial features. The system is fully automatic, it can initialize automatically, and reinitialize when necessary. The system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye blinking and eye closure, and recovers the three dimensional gaze of the eyes. In addition, the system is able to track both through occlusion due to eye blinking, and eye closure, large mouth movement, and also through occlusion due to rotation. Even when the face is fully occluded due to rotation, the system does not break down. Further the system is able to track through yawning, which is a large local mouth motion. Finally, results are presented, and future work on how this system can be used for more advanced driver visual attention monitoring is discussed.

Journal Title

Ieee Transactions on Intelligent Transportation Systems

Volume

4

Issue/Number

4

Publication Date

1-1-2003

Document Type

Article

Language

English

First Page

205

Last Page

218

WOS Identifier

WOS:000188205400004

ISSN

1524-9050

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