Monitoring Head/Eye Motion for Driver Alertness with One Camera
نویسندگان
چکیده
We describe a system for analyzing human driver alertness. It relies on optical flow and color predicates to robustly track a person’s head and facial features. Our system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye blinking, and recovers the 3D gaze of the eyes. We show results and discuss how this system can be used for monitoring driver alertness.
منابع مشابه
Alertness Detection Of Driver Using MEMS & Eye Blink Sensor
This paper presents analysis of eye state and head pose (HP) for continuous monitoring of alertness of a vehicle driver. Most existing approaches to visual detection of non-alert driving patterns rely either on eye closure or head nodding angles to determine the driver drowsiness or distraction level. The proposed scheme uses features such as eye index (EI), pupil activity (PA), and HP to extra...
متن کاملA Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection
Every year, many car accidents due to driver fatigue and distraction occur around the world and cause many casualties and injuries. Driver face monitoring systems is one of the main approaches for driver fatigue or distraction detection and accident prevention. Driver face monitoring systems capture the images from driver face and extract the symptoms of fatigue and distraction from eyes, mouth...
متن کاملFinding What the Driver Does Final Report Prepared by : Harini Veeraraghavan
Most research depends on detection of driver alertness through monitoring the eyes, face, head or facial expression. This research presents methods for recognizing and summarizing the activities of drivers using the appearance of the driver's position––and changes in position––as fundamental cues, based on the assumption that periods of safe driving are periods of limited motion in the driver's...
متن کاملBlink Rate Monitoring for a Driver Awareness System
We describe a working prototype computer vision system for measuring the blink rate of car drivers. It combines an intelligent face recognition system with feature tracking, and statistical image analysis methods to locate and track the head position of a driver in a car, and extract specific measurements from the eyes. This is done using standard hardware (a Sun IPC workstation and frame grabb...
متن کاملDetermining driver visual attention with one camera
This paper presents a system for analyzing human driver visual attention. The system relies on estimation of global motion and color statistics to robustly track a person’s head and facial features. The system is fully automatic, it can initialize automatically, and reinitialize when necessary. The system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye bl...
متن کامل