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Authors: George Galanakis 1 ; Xenophon Zabulis 2 and Antonis Argyros 1

Affiliations: 1 Computer Science Department, University of Crete, Greece, Institute of Computer Science, FORTH and Greece ; 2 Institute of Computer Science, FORTH and Greece

Keyword(s): Person Re-identification, Open World, Novelty Detection.

Abstract: A fundamental assumption in most contemporary person re-identification research, is that all query persons that need to be re-identified belong to a closed gallery of known persons, i.e., they have been observed and a representation of their appearance is available. For several real-world applications, this closed-world assumption does not hold, as image queries may contain people that the re-identification system has never observed before. In this work, we remove this constraining assumption. To do so, we introduce a novelty detection mechanism that decides whether a person in a query image exists in the gallery. The re-identification of persons existing in the gallery is easily achieved based on the persons representation employed by the novelty detection mechanism. The proposed method operates on a hybrid person descriptor that consists of both supervised (learnt) and unsupervised (hand-crafted) components. A series of experiments on public, state of the art datasets and in compar ison with state of the art methods shows that the proposed approach is very accurate in identifying persons that have not been observed before and that this has a positive impact on re-identification accuracy. (More)

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Paper citation in several formats:
Galanakis, G.; Zabulis, X. and Argyros, A. (2019). Novelty Detection for Person Re-identification in an Open World. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4; ISSN 2184-4321, pages 401-411. DOI: 10.5220/0007368304010411

@conference{visapp19,
author={George Galanakis. and Xenophon Zabulis. and Antonis Argyros.},
title={Novelty Detection for Person Re-identification in an Open World},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={401-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007368304010411},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Novelty Detection for Person Re-identification in an Open World
SN - 978-989-758-354-4
IS - 2184-4321
AU - Galanakis, G.
AU - Zabulis, X.
AU - Argyros, A.
PY - 2019
SP - 401
EP - 411
DO - 10.5220/0007368304010411

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