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Authors: Naima Mubariz ; Saba Mumtaz ; M. M. Hamayun and M. M. Fraz

Affiliation: National University of Sciences and Technology, Pakistan

ISBN: 978-989-758-290-5

ISSN: 2184-4321

Keyword(s): Public Safety and Security (PSS), Person Re-identification, Metric Learning, Visual Surveillance, Biometrics.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Person re-identification is a complex computer vision task which provides authorities a valuable tool for maintaining high level security. In surveillance applications, human appearance is considered critical since it possesses high discriminating power. Many re-identification algorithms have been introduced that employ a combination of visual features which solve one particular challenge of re-identification. This paper presents a new type of feature descriptor which incorporates multiple recently introduced visual feature representations such as Gaussian of Gaussian (GOG) andWeighted Histograms of Overlapping Stripes (WHOS) latest version into a single descriptor. Both these feature types demonstrate complementary properties that creates greater overall robustness to re-identification challenges such as variations in lighting, pose, background etc. The new descriptor is evaluated on several benchmark datasets such as VIPeR, CAVIAR4REID, GRID, 3DPeS, iLIDS, ETHZ1 and PRID450 s and compared with several state-of-the-art methods to demonstrate effectiveness of the proposed approach. (More)

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Paper citation in several formats:
Mubariz, N.; Mumtaz, S.; Hamayun, M. and Fraz, M. (2018). Optimization of Person Re-Identification through Visual Descriptors.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-290-5, ISSN 2184-4321, pages 348-355. DOI: 10.5220/0006613303480355

@conference{visapp18,
author={Naima Mubariz. and Saba Mumtaz. and M. M. Hamayun. and M. M. Fraz.},
title={Optimization of Person Re-Identification through Visual Descriptors},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2018},
pages={348-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006613303480355},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - Optimization of Person Re-Identification through Visual Descriptors
SN - 978-989-758-290-5
AU - Mubariz, N.
AU - Mumtaz, S.
AU - Hamayun, M.
AU - Fraz, M.
PY - 2018
SP - 348
EP - 355
DO - 10.5220/0006613303480355

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