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Authors: Amer G. Binsaadoon and El-Sayed M. El-Alfy

Affiliation: King Fahd University of Petroleum and Minerals, Saudi Arabia

ISBN: 978-989-758-172-4

Keyword(s): Biometric, Human Identification, Gait Recognition, Local Binary Pattern, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: With the increasing security breaches nowadays, automated gait recognition has recently received increasing importance in video surveillance technology. In this paper, we propose a method for human identification at distance based on Fuzzy Local Binary Pattern (FLBP). After the Gait Energy Image (GEI) is generated as a spatiotemporal summary of a gait video sequence, a multi-region partitioning is applied and FLBP based features are extracted for each region. We also evaluate the performance under the variation of some factors including viewing angle, clothing and carrying conditions. The experimental work showed that GEI-FLBP with partitioning has remarkably enhanced the identification accuracy.

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Paper citation in several formats:
Binsaadoon, A. and El-Alfy, E. (2016). Gait-based Recognition for Human Identification using Fuzzy Local Binary Patterns.In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 314-321. DOI: 10.5220/0005693103140321

@conference{icaart16,
author={Amer G. Binsaadoon. and El{-}Sayed M. El{-}Alfy.},
title={Gait-based Recognition for Human Identification using Fuzzy Local Binary Patterns},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={314-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005693103140321},
isbn={978-989-758-172-4},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Gait-based Recognition for Human Identification using Fuzzy Local Binary Patterns
SN - 978-989-758-172-4
AU - Binsaadoon, A.
AU - El-Alfy, E.
PY - 2016
SP - 314
EP - 321
DO - 10.5220/0005693103140321

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