Driver Fatigue detection By Kalman Filter And Mean Shift Using Two Cameras
Pages : 578-581
Now a day the numbers of road accidents are increasing due to lessened acuity and diligence level of driver. How to avoid this has become a problem of serious concern. In order to detect and remove this cause of road accident development of driver fatigue detection methods have evolved as a good topic for researchers. Thus in last year’s many such systems have been proposed which can detect the mind state of driver such as drowsiness or inattention, for generating some warning alarms to alert the driver. In this paper we have discussed the results of few methodologies of the Fatigue Detection system proposed by us that can improve the results of the earlier discussed methods used in designing many Fatigue detection systems.
Keywords: Driver Fatigue Detection; Kalman Filter; Mean Shift
Article published in International Journal of Current Engineering and Technology, Vol.3,No.2 (June- 2013)