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

Affiliation: National University of Sciences and Technology, Pakistan

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 PRID45 0s 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 (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={348-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006613303480355},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Optimization of Person Re-Identification through Visual Descriptors
SN - 978-989-758-290-5
IS - 2184-4321
AU - Mubariz, N.
AU - Mumtaz, S.
AU - Hamayun, M.
AU - Fraz, M.
PY - 2018
SP - 348
EP - 355
DO - 10.5220/0006613303480355
PB - SciTePress