Add to ORKGThe supervision of people in special circumstances, having as their purpose detecting risk situations, is an area which has many applications. In this context we are interested, in this paper, the problems of driver drowsiness detection based on video analysis. We describe a new approach to detect reduced alertness automatically, to prevent the driver. Unlike many other works, our noninvasively approach is based only on the analysis of geometric features captured form faces video sequence without any electronics elements related to human
Drowsiness is the transition between the awake state and sleep where one's abilities to observe and ...
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve saf...
We propose drowsiness detection in real-time surveillance videos by determining if a person’s eyes a...
The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless d...
The aim of this paper is to describe a system whose final goal is to detect if a driver is drowsy, i...
Abstract- As field of signal processing is widening in various security and surveillance application...
International audienceIn this paper, an algorithm for drivers' drowsiness detection based on visual ...
AbstractRoad accidents and victims provoked by drowsiness are a worldwide relevant social and econom...
Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society...
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of driver’s ...
Driver lethargy is one of the main explanations for traffic accidents and the associated fiscal loss...
In this paper, we describe a real-time prototype driver-fatigue monitor. It uses remotely located no...
One of the leading causes of traffic accidents and fatalities is drowsiness while driving. Driver dr...
Nowadays, driving support systems, such as car navigation systems, are getting common, and they supp...
Detection and prediction of drowsiness is key for the implementation of intelligent vehicles aimed t...
Drowsiness is the transition between the awake state and sleep where one's abilities to observe and ...
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve saf...
We propose drowsiness detection in real-time surveillance videos by determining if a person’s eyes a...
The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless d...
The aim of this paper is to describe a system whose final goal is to detect if a driver is drowsy, i...
Abstract- As field of signal processing is widening in various security and surveillance application...
International audienceIn this paper, an algorithm for drivers' drowsiness detection based on visual ...
AbstractRoad accidents and victims provoked by drowsiness are a worldwide relevant social and econom...
Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society...
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of driver’s ...
Driver lethargy is one of the main explanations for traffic accidents and the associated fiscal loss...
In this paper, we describe a real-time prototype driver-fatigue monitor. It uses remotely located no...
One of the leading causes of traffic accidents and fatalities is drowsiness while driving. Driver dr...
Nowadays, driving support systems, such as car navigation systems, are getting common, and they supp...
Detection and prediction of drowsiness is key for the implementation of intelligent vehicles aimed t...
Drowsiness is the transition between the awake state and sleep where one's abilities to observe and ...
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve saf...
We propose drowsiness detection in real-time surveillance videos by determining if a person’s eyes a...