Face extraction from video sequences by K-means clustering and fusion

Author

Ji, Luping ; Pu, Xiaorong ; Ye, Ming ; Qihua, Peng

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2011

fDate

10-12 June 2011

Firstpage

358

Lastpage

361

Abstract

Face segmentation is an important processing step in a typically face-based person identification system. This paper presents a modified K-means clustering and fusion approach for face region extraction from colorful images of video sequences. It is based on L*a*b* color space analysis and consists of three processing steps: color number estimation, color region clustering, and face region post processing. Moreover, experimental results on CIPR public video sequences are also exhibited to verify the feasibility, high efficiency and accuracy.

Keywords

face recognition; feature extraction; image colour analysis; image fusion; image segmentation; image sequences; object detection; pattern clustering; CIPR; K-means clustering; color space analysis; colorful images; face extraction; face segmentation; fusion approach; person identification system; video sequences; Clustering algorithms; Face; Histograms; Image color analysis; Image segmentation; Pixel; Video sequences; K-means clustering; Lab color space; color number estimation; face extraction; region fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5953239

Filename

5953239