A face detection method based on corner verifying

Author

Zhao, Quanyou ; Zhang, Shujun

Author_Institution

Dept. of Comput. & Commun. Eng., Hunan Univ. of Sci. & Eng., Yongzhou, China

fYear

2011

fDate

27-29 June 2011

Firstpage

2854

Lastpage

2857

Abstract

Face detection is the first step for automatic face recognition system and many surveillance systems, it has been widely applied in many fields. A face detection method based on corner verifying is presented. Firstly, most of the background area is quickly filtered out by skin color detection. Then faces are detected by AdaBoost face detection algorithm combination with skin color detection, but there are some non-faces to be detected. Finally, the faces are verified by corner distribution of human face after Harris corner detection to further reduce the error rate. Experimental results show that this method can efficiently and accurately detect the faces with multi-feature fusion.

Keywords

edge detection; face recognition; image colour analysis; image fusion; surveillance; AdaBoost face detection algorithm; Harris corner detection; automatic face recognition system; background filtering; corner verification; error rate reduction; human face corner distribution; multifeature fusion; skin color detection; surveillance system; Color; Face; Face detection; Humans; IEEE Press; Object detection; Skin; AdaBoost; Face detection; Harris; Skin color detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974784

Filename

5974784