DocumentCode :
2907430
Title :
An improved algorithm for dynamic face detection
Author :
Goras, B.T. ; Vieriu, R.L.
Author_Institution :
Gheorghe Asachi Tech. Univ., Iaşi, Romania
fYear :
2012
fDate :
15-16 Nov. 2012
Firstpage :
255
Lastpage :
258
Abstract :
The purpose of this paper is to present an improved version of Viola & Jones [1] face detection algorithm, characterized by the fact that the weak classifier generation uses two threshold levels, depending on the positive examples distributions only. The algorithm was implemented in Matlab, and is able to dynamically detect faces in 240×320 webcam frames within 100ms.
Keywords :
face recognition; learning (artificial intelligence); AdaBoost; Matlab; dynamic face detection; picture size 240 pixel; picture size 320 pixel; threshold levels; weak classifier generation; webcam frames; Face; Face detection; Feature extraction; Heuristic algorithms; Memory management; Optimization; Testing; Adaboost; Face detection; weak classifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Telecommunications (ISETC), 2012 10th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-1177-9
Type :
conf
DOI :
10.1109/ISETC.2012.6408062
Filename :
6408062
Link To Document :
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