Authors:
Aleksandar Čolić
;
Oge Marques
and
Borko Furht
Affiliation:
Florida Atlantic University, United States
Keyword(s):
Driver Drowsiness Detection, Fatigue Detection, Drivers Assistance System, Eye-state Recognition, Head Pose Estimation.
Related
Ontology
Subjects/Areas/Topics:
Design and Implementation of Signal Processing Systems
;
Distributed Multimedia Systems
;
Human-Machine Interface
;
Image and Video Processing, Compression and Segmentation
;
Multimedia
;
Multimedia Databases, Indexing, Recognition and Retrieval
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Sensors and Multimedia
;
Telecommunications
Abstract:
This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver’s face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.