09-09-2017, 11:37 AM
The driver's face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for the detection of hypovigilance (fatigue and distraction) of the driver based on the symptoms related to the regions of the face and eye. In this method, the adaptation of face templates and the horizontal projection of the segment of the upper half of the face image are used to extract the hypovigilance symptoms of the face and eye, respectively. Rotation of the head is a symptom to detect the distraction that is extracted from the region of the face. These three contributions lead to the development of adaptive eye / face monitoring of the driver. Experiments show that the proposed system is relatively efficient in estimating driver fatigue and distraction.
Driving is a complex task in which the driver is responsible for observing the road, making the right decisions on time and finally responding to the actions of other drivers and the different conditions of the road. Surveillance is the waking state and ability to respond effectively to external stimuli. It is crucial for safe driving. Among all accidents related to fatigue, accidents caused by sleeping drivers are common and serious as to the severity of the injury. A computer vision system for driving monitoring uses face tracking and tracking as the first stage of processing. In the next stage the different facial characteristics are extracted and tracked to control the driver's watch.
Driving is a complex task in which the driver is responsible for observing the road, making the right decisions on time and finally responding to the actions of other drivers and the different conditions of the road. Surveillance is the waking state and ability to respond effectively to external stimuli. It is crucial for safe driving. Among all accidents related to fatigue, accidents caused by sleeping drivers are common and serious as to the severity of the injury. A computer vision system for driving monitoring uses face tracking and tracking as the first stage of processing. In the next stage the different facial characteristics are extracted and tracked to control the driver's watch.