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Author Zhibo Guo ♦ Huajun Liu ♦ Qiong Wang ♦ Jingyu Yang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Support vector machines ♦ Road accidents ♦ Computerized monitoring ♦ Lighting ♦ Support vector machine classification ♦ Glass ♦ Robustness ♦ Magnetic heads ♦ Face detection ♦ Videos
Abstract For a driver monitoring system, one of the most important problems to solve is face detection rapidly. This paper presents an efficient approach to achieve fast and accurate face detection in gray level videos. Candidates of face at different scales are selected by finding regions based on mask transform (MT). To obtain real one, all the face candidates are then verified by using support vector machines (SVMs) based on multi-scale 2D Walsh-Hadamard features. The proposed method is robust to deal with illumination changes, glasses wearing and different head pose with moderate rotations. Experimental results demonstrate its effectiveness
Description Author affiliation: Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol. (Zhibo Guo; Huajun Liu; Qiong Wang; Jingyu Yang)
ISBN 0769525288
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-10-16
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.26 MB
Page Count 5
Starting Page 267
Ending Page 271


Source: IEEE Xplore Digital Library