A newSalgorithm based on eye"s characteristicSinformation for the gaze estimation of driver"s eye is proposed and using the common camera. First of all, the eye model is discussed and the new model is put forward according to the samples" analysis. As the components of eye model, the upper eyelid, (inner and outer) eye corners and iris are to be detected. Using HarrisScorner algorithm for detection of the driver"sSupper eyelid and lower eyelidScontourScorner, and fitting the human eye"s contour curve; Then, converting image color space and extracting component of gray-scale value of the human eye"s image, and adopting Hough edge detection algorithm in sub-pixel image. The corresponding threshold of the curvature of the iris"s edge is set, and the human iris edge information is identified accurately. The algorithm for the sake of the gaze estimation of driver"s eye which combined with the iris and the human eye contour information. According to our defined gaze model and the analysis of eye features, the gaze of human eye can be estimated. The proposed algorithm is applied to the real vehicle experiment, In order to verify the driver"s gaze estimation, and facelab5 eye movement instrument is used for the verification. The markers are detected by computer vision method, and the relationship between scene image and computer screen is constructed with point correspondences in two views. The point of gaze in the scene image is translated to computer screen coordinate. The experimental results show that the proposed algorithm for the gaze estimation of driver"s eye has a high accuracy in the actual driving conditions and the low - resolution images.