DocumentCode :
2675341
Title :
A fast method of face detection in video images
Author :
Zhang, Lijing ; Liang, Yingli
Author_Institution :
Network Adm. Center, North China Electr. Power Univ., Baoding, China
Volume :
4
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
490
Lastpage :
494
Abstract :
Face detection is the basis of all the face processing system, while in video the face detection problem has a more special significance. By studying the face detection based on Adaboost algorithm, this paper presents a fast and good robust face detection method. Firstly, the motion region which contains faces is obtained based on motion detection, excluding the background interference. Secondly, Adaboost algorithm is used to detect the face in the motion region and locate the face. The experiments show that this method can rapidly and accurately detect human faces.
Keywords :
face recognition; image motion analysis; video signal processing; Adaboost algorithm; face detection; face processing system; fast method; motion detection; motion region; robust face detection method; video images; Cameras; Face detection; Face recognition; Gray-scale; Humans; Image motion analysis; Monitoring; Motion detection; Real time systems; Robustness; Adaboost; background subtraction; face detection; video images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486903
Filename :
5486903
Link To Document :
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