An Analysis of Gabor Wavelet Algorithm for Tracking Driver´s Feature Point

With multi-scale and multi-directional characteristics, Gabor wavelet is often used for texture analysis and feature extraction studies, and obtained more applications in the field of driver fatigue monitoring technology. First introduces the basic principles of Gabor wavelet and using methods, then with examples focus on technology segments of driver facial feature point tracking, including the method of determining Gabor wavelet parameters and the method of extracting the feature point´s eigenvector. And finally identifies the three candidates with the maximum similarity rules. For the different image conditions, proposed reasonable proposals in the actual application of Gabor wavelet. Practice has proved, the Gabor wavelet tracking algorithm of this paper has higher accuracy, the effect is very ideal, lays a good foundation for the driver fatigue analysis.