About Driver Fatigue Monitoring Of The Human Eye Detection And Tracking Research

At present some of traffic accidents have taken place because drivers have been in fatigue. In this thesis driver's fatigue level has been estimated according to his eyes state in order to reduce these traffic accidents. Eye detection and tracking methods of the driver have been studied and improved importantly.In this thesis three facets work have been finished:Firstly, two methods have been proposed in this thesis that have been used to detect and track eyes, and which are superior to former methods in detecting speed and veracity, one of which is based on color-model and boosted cascade of classifies , and the other is based on geometry feature and boosted cascade of classifies. The former is for color images and the latter is for gray images, and both them are superior to former methods in some degree.Secondly, novel eye tracking method has been proposed that has conjoined kalman filter and mean shift , the whole tracking process has been divided into two stages: kalman filter is used to estimate eye position and mean shift is used to correct eye position. This eye tracking method is effective for realistic lighting condition, eye part closure and eye closure.Thirdly, eye tracking system has been constructed and real time eye tracking has been realized.