Demo: Vision based smart in-car camera system for driver yawning detection

Author

Hariri, Behnoosh ; Abtahi, Shabnam ; Shirmohammadi, Shervin ; Martel, Luc

Author_Institution

Distrib. & Collaborative Virtual Environments Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada

fYear

2011

Firstpage

1

Lastpage

2

Abstract

In this demo we will present a vision-based smart environment using in-car cameras that can be used for real time tracking and monitoring of a driver in order to detect the driver´s drowsiness based on yawning detection. As driver fatigue and drowsiness is a major cause behind a large number of road accidents, the assistive systems that monitor a driver´s level of drowsiness and alert the driver in case of vigilance can play an important role in the prevention of such accidents. Our system is built on the top of an embedded platform, called APEX™ from CogniVue Corp., that is easy and practical for installation inside a car. Moreover, we have aimed at optimizing the system in a way that it meets the real time requirements of the monitoring task while relying on the limited processing power of the embedded platform.

Keywords

automobiles; cameras; computer vision; embedded systems; face recognition; object detection; object tracking; road accidents; traffic engineering computing; APEX; driver drowsiness detection; driver fatigue; driver yawning detection; real time monitoring; real time tracking; road accidents; vision based smart in-car camera system; vision-based smart environment; Cameras; Face; Face detection; Monitoring; Mouth; Real time systems; Vehicles; Monitoring System; computer vision; smart camera; yawning detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on

Conference_Location

Ghent

Print_ISBN

978-1-4577-1708-6

Electronic_ISBN

978-1-4577-1706-2

Type

conf

DOI

10.1109/ICDSC.2011.6042952

Filename

6042952