In view of some of the difficulties existing in fatigue driving detection

this paper proposes a novel method for driverseyes location and tracking.Firstly we uses Gamma and SQI (Self Quotient Image) algorithm to process images

which obtained by infrared light

then locate the brow area by AdaBoost algorithm

and on this basis

with the brow area 15 points ASM (Active Shape Models) model to accurately locate drivers eye area

finally the unscented kalman filter algorithm is adopted to driverseyes tracking.The experimental results show that the algorithm introduced can not only improve the robustness of the illumination

pose transformation

and drivers eyes strongly nonlinear movement

but also get ideal reault

even if the driver wearing glasses.