NDLI: An Analysis of Gabor Wavelet Algorithm for Tracking Driver's Feature Point

Content Provider	IEEE Xplore Digital Library
Author	Chunyu Zhang Keyou Guo Guizhen Yu
Copyright Year	2010
Abstract	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.
Starting Page	364
Ending Page	368
File Size	967526
Page Count	5
File Format	PDF
ISBN	9781424468805
e-ISBN	9781424468812
DOI	10.1109/iCECE.2010.1413
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Driver Behavior Surveillance Gabor Wavelet Feature Point Feature extraction Machine Vision Face Gabor filters Monitoring Pixel Driver circuits
Content Type	Text
Resource Type	Article

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