DocumentCode
3435098
Title
Boosting nested cascade detector for multi-view face detection
Author
Huang, Chang ; Haizhou Al ; Wu, Bo ; Lao, Shihong
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
415
Abstract
A novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer´s to improved boosting algorithms that use real-valued confidence-rated weak classifiers (Schapire, R. E. and Singer, Y, 1999), where we use confidence-rated look-up-table (LUT) weak classifiers based on Haar features. Experiments show the system performance is significantly improved compared with previous methods.
Keywords
face recognition; table lookup; boosting nested cascade detector; confidence rated weak classifiers; look up table; multiview face detection; Artificial intelligence; Bayesian methods; Boosting; Computer science; Detectors; Face detection; Laboratories; Real time systems; System performance; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334239
Filename
1334239
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