TY - GEN
T1 - Analysis of Gabor wavelet algorithm for tracking driver's feature point
AU - Zhang, Chunyu
AU - Guo, Keyou
AU - Yu, Guizhen
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Driver behavior surveillance
KW - Feature point
KW - Gabor wavelet
KW - Machine vision
UR - https://www.scopus.com/pages/publications/79952221154
U2 - 10.1109/iCECE.2010.1413
DO - 10.1109/iCECE.2010.1413
M3 - 会议稿件
AN - SCOPUS:79952221154
SN - 9780769540313
T3 - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
SP - 364
EP - 368
BT - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
T2 - International Conference on Electrical and Control Engineering, ICECE 2010
Y2 - 26 June 2010 through 28 June 2010
ER -