Abstract: A robust and efficient driver’s face tracking algorithm in video that can detect faces is presented in this paper. The algorithm ensures the localization of mouth , nose and eyes with Horizontal gray-level projection region to construct Feature Triangle including isosceles triangle and right triangle for face tracking. The algorithm creats latency rectangle region with rigid body constraints. Then it constitutes forty-eight optimization filters according to 2D-Gabor kernel functions to acquire forty-eight feature point inside the latency rectangle region.Our algorithm can conquer different sizes,different lighting conditions,varing pose and expression,and noise problems. The algorithm can also detect faces from the side way. Experimental results demonstrate that an approximately 98% success rate is achieved.