DocumentCode
589500
Title
Face detection based on chrominance and luminance for simple design
Author
YoungJin Kim ; Sungkwang Cho ; Byungjoon Back ; TaeChan Kim
Author_Institution
Image Dev. Team, Samsung Electron., Yongin, South Korea
fYear
2012
fDate
4-7 Nov. 2012
Firstpage
313
Lastpage
316
Abstract
We proposed improved face detection system using Grid of Skin Color Regions besides luminance data that are used in the conventional system. It decreases FAR (False Acceptance Ratio) in image part where there are non-skin color. Using skin information in CbCr plane is proposed to be implemented into embedded system. It separates skin color and non-skin color regions in the several regions. After that, AdaBoost algorithm is used in training face and non-face images. We confirmed the result that brings less FAR compared to the conventional method.
Keywords
brightness; embedded systems; face recognition; image colour analysis; learning (artificial intelligence); object detection; AdaBoost algorithm; CbCr plane; FAR; chrominance; embedded system; face detection; false acceptance ratio; luminance; nonskin color regions; Databases; Face; Face detection; Image color analysis; Skin; Training; Training data; AdaBoost; ICT; chrominance; face detection; face recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
SoC Design Conference (ISOCC), 2012 International
Conference_Location
Jeju Island
Print_ISBN
978-1-4673-2989-7
Electronic_ISBN
978-1-4673-2988-0
Type
conf
DOI
10.1109/ISOCC.2012.6407103
Filename
6407103
Link To Document