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Authors: Duan-Yu Chen and Kuan-Yi Lin

Affiliation: Yuan-Ze University, Taiwan

ISBN: 978-989-674-029-0

Keyword(s): Gender recognition, Uncontrolled environment, Real-life images.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: 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 fourfold. A skin-color filter is first developed to filter out non-face noises. 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. Experimental results obtained by using extensive dataset show that our system is effective and efficient in recognizing genders for uncontrolled environment of real life images.

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Paper citation in several formats:
Chen D.; Lin K. and (2010). REAL-TIME GENDER RECOGNITION FOR UNCONTROLLED ENVIRONMENT OF REAL-LIFE IMAGES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 357-362. DOI: 10.5220/0002823203570362

@conference{visapp10,
author={Duan{-}Yu Chen and Kuan{-}Yi Lin},
title={REAL-TIME GENDER RECOGNITION FOR UNCONTROLLED ENVIRONMENT OF REAL-LIFE IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={357-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002823203570362},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - REAL-TIME GENDER RECOGNITION FOR UNCONTROLLED ENVIRONMENT OF REAL-LIFE IMAGES
SN - 978-989-674-029-0
AU - Chen, D.
AU - Lin, K.
PY - 2010
SP - 357
EP - 362
DO - 10.5220/0002823203570362

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