Robust gender recognition for uncontrolled environment of real-life images

Gender recognition is a challenging task in real life images and surveillance videos due to their relatively low-resolution, under uncontrolled environment and variant viewing angles of human subject. Therefore, in this paper, a system of real-time gender recognition for real life images is proposed...

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Bibliographic Details
Published inIEEE transactions on consumer electronics Vol. 56; no. 3; pp. 1586 - 1592
Main Authors Chen, Duan-Yu, Lin, Kuan-Yi
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Decision making
Electronics
Face
Face detection
Face recognition
Feature extraction
gender recognition
Human
Humans
Image color analysis
Real time
real-life images
Recognition
Surveillance
Tasks
Training
uncontrolled environment
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Summary:Gender recognition is a challenging task in real life images and surveillance videos due to their relatively low-resolution, under uncontrolled environment and variant viewing angles of human subject. Therefore, in this paper, a system of real-time gender recognition for real life images is proposed. The contribution of this work is three-fold. In order to make the system robust, a mechanism of decision making based on the combination of surrounding face detection, context-regions enhancement and confidence-based weighting assignment is designed. Experiment results obtained by using extensive dataset show that our system is effective and efficient in recognizing genders for uncontrolled environment of real life images.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2010.5606301