DocumentCode :
3034017
Title :
A cascade detector for rapid face detection
Author :
Jiang, Ning ; Yu, Wenxin ; Tang, Shaopeng ; Goto, Satoshi
Author_Institution :
Grad. Sch. of Inf., Production & Syst. LSI, Waseda Univ., Kitakyushu, Japan
fYear :
2011
fDate :
4-6 March 2011
Firstpage :
155
Lastpage :
158
Abstract :
In recent years, LBP feature based SVM detector and Haar feature based cascade detector are the two types of efficient detectors for face detection. In this paper, we proposed to improve the performance on Haar feature based cascade detector. First, we describe a new feature for cascade detector. The feature is called Separate Haar Feature. Secondly, we describe a new decision algorithm in cascade detection to improve the detection rate. There are three key contributions. The first is “Separate Haar Feature”, which adds a don´t-care area between the rectangles of Haar Feature. The second is the algorithm for selecting the best width for this don´t-care area. Finally, we proposed a new decision algorithm which makes the decision by not only a stage result in cascade detection process to improve the detection rate.
Keywords :
Haar transforms; face recognition; support vector machines; LBP feature; SVM detector; cascade detector; rapid face detection; separate Haar feature; Conferences; Detectors; Face; Face detection; Feature extraction; Signal processing algorithms; Adaboost; Face detection; Separate Haar Feature; cascade detector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-414-5
Type :
conf
DOI :
10.1109/CSPA.2011.5759863
Filename :
5759863
Link To Document :
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