Paper Info
Title
Driver Drowsiness Identification by Means of Passive Techniques for Eye Detection and Tracking
Abstract
The aim of this paper is to describe a system whose final goal is to detect if a driver is drowsy, in order to prevent potentially danger situations. The system is based on the processing of the driver’s face image, acquired by a web cam installed on the dashboard of the car. After a brief introduction explaining the connection of the present work to the European project REFLECT, the relashonship between drowsiness condition and fatal car crashes is dicussed. Then, an overview of the most used techiques for face and eye detection is given, and the developed algorithm is described in detail. Finally, preliminary results of in-laboratory and in-car tests are presented and commented.
Year
DOI
Venue
2010
10.1109/SASOW.2010.30
Self-Adaptive and Self-Organizing Systems Workshop
Keywords
Field
DocType
final goal,eye detection,drowsiness condition,developed algorithm,passive techniques,danger situation,fatal car crash,preliminary result,brief introduction,in-car test,european project,face recognition,face tracking,shape,eye tracking,lighting,active appearance model,face
Facial recognition system,Computer vision,Computer science,Real-time computing,Active appearance model,Eye tracking,Artificial intelligence,Dashboard (business),Eye detection,Facial motion capture
Conference
ISBN
Citations 
PageRank 
978-1-4244-8684-7
2
0.44
References 
Authors
12
5
Name
Order
Citations
PageRank
Andrea Cristiani1366.13
Marco Porta214017.46
Davide Gandini320.44
Gian Mario Bertolotti4356.59
Nikola Šerbedžija5245.33