loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cherinet G. Zewdie and Hubert Konik

Affiliation: Université de Lyon and Université Jean Monnet, France

Keyword(s): Human Visual System, Gender Recognition, Salient Region, HVS Inspired Gender Recognition, Local Binary Pattern.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Cognitive Systems ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems ; Vision and Perception

Abstract: A face reveals a great deal of information to a perceiver including gender. Humans use specific information (cue) from a face to recognize gender. The focus of this paper is to find out this cue when the Human Visual System (HVS) decodes gender of a face. The result can be used by a Computer Vision community to develop HVS inspired framework for gender recognition. We carried out a Pyscho-visual experiment to find which face region is most correlated with gender. Eye movements of 15 observers were recorded using an eye tracker when they performed gender recognition task under controlled and free viewing condition. Analysis of the eye movement shows that the eye region is the most correlated with gender recognition. We also proposed a HVS inspired automatic gender recognition framework based on the Psycho-visual experiment. The proposed framework is tested on FERET database and is shown to achieve a high recognition accuracy.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.139.239.157

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
G. Zewdie, C. and Konik, H. (2015). Human Visual System Based Framework For Gender Recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-074-1; ISSN 2184-433X, SciTePress, pages 254-260. DOI: 10.5220/0005176102540260

@conference{icaart15,
author={Cherinet {G. Zewdie}. and Hubert Konik.},
title={Human Visual System Based Framework For Gender Recognition},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2015},
pages={254-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005176102540260},
isbn={978-989-758-074-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Human Visual System Based Framework For Gender Recognition
SN - 978-989-758-074-1
IS - 2184-433X
AU - G. Zewdie, C.
AU - Konik, H.
PY - 2015
SP - 254
EP - 260
DO - 10.5220/0005176102540260
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic