DocumentCode :
1791389
Title :
Fast face detection based on skin color segmentation using single chrominance Cr
Author :
Xiao Hu ; Shaohu Peng ; Jiyong Yan ; Na Zhang
Author_Institution :
Sch. of Mech. & Electr. Eng., Guangzhou Univ., Guangzhou, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
687
Lastpage :
692
Abstract :
In this paper, a simple and fast algorithm was proposed to detect face. Firstly, some interest points marking skin regions were searched by only using simple chrominance Cr information instead of simultaneously using chrominance Cr and Cb. And then, a conventional and popular AdaBoost algorithm was employed to make a decision whether around the detected interest points was there face and then located the face if there was. 400 face patches were translated into YCbCr space, and it was found from the 400 face patches that skin Cr histogram overlapped a little with non-skin Cr histogram and its cut-off was about 137. From LFW database, another 215 facial images of 108 subjects were random selected to test the proposed method. Compared with other interest detection methods, the detection based simple Cr method can not only find out all face regions, but also the number of its detected interest points was the least and the whole detection time was the least too. Therefore, the proposed method was an effective face detection method.
Keywords :
face recognition; image colour analysis; image segmentation; learning (artificial intelligence); skin; AdaBoost algorithm; LFW database; YCbCr space; chrominance Cr information; face patches; facial images; fast face detection; nonskin Cr histogram; skin color segmentation; skin regions; Databases; Detectors; Face; Face detection; Histograms; Image color analysis; Skin; Adaboost algorithm; Cr distribution; Interest points; YCbCr space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/CISP.2014.7003866
Filename :
7003866
Link To Document :
بازگشت