A new head detection method based on the region shield segmentation in complex background

Author

Zhang, Liming ; Lenders, Patrick

Author_Institution

Sch. of Math. & Comput. Sci., New England Univ., Armidale, NSW, Australia

fYear

2001

fDate

2001

Firstpage

328

Lastpage

331

Abstract

Automatic detection of the human head/face from complex backgrounds is one of the most difficult problems in pattern recognition. A novel segmentation approach, namely Region Shield Segmentation (RSS), is proposed, which is used to segment the human head from complex backgrounds. The usual segmentation techniques segment the objects directly from backgrounds. RSS, however, shields the object region and processes the backgrounds first. It leaves the object region with a uniform background for further processing. The RSS process can effectively simplify the head/face detection algorithm. The MIT Face Database is used to evaluate the capacity of the proposed method. The results are found to be promising

Keywords

face recognition; image segmentation; visual databases; MIT Face Database; RSS; automatic detection; complex background; head detection method; human head/face; object region; pattern recognition; region shield segmentation; segmentation approach; segmentation techniques; uniform background; Australia; Face detection; Face recognition; Hair; Head; Histograms; Humans; Image processing; Image recognition; Image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on

Conference_Location

Hong Kong

Print_ISBN

962-85766-2-3

Type

conf

DOI

10.1109/ISIMP.2001.925400

Filename

925400