Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification

Vito Renò, Angelo Cardellicchio, Tiziano Politi, Cataldo Guaragnella, Tiziana D'Orazio

2016

Abstract

In this paper, a method to find, exploit and classify ambiguities in the results of a person re-identification (PRID) algorithm is presented. We start from the assumption that ambiguity is implicit in the classical formulation of the re-identification problem, as a specific individual may resemble one or more subjects by the color of dresses or the shape of the body. Therefore, we propose the introduction of the AMbiguity rAte in REidentification (AMARE) approach, which relates the results of a classical PRID pipeline on a specific dataset with their effectiveness in re-identification terms, exploiting the ambiguity rate (AR). As a consequence, the cumulative matching curves (CMC) used to show the results of a PRID algorithm will be filtered according to the AR. The proposed method gives a different interpretation of the output of PRID algorithms, because the CMC curves are processed, split and studied separately. Real experiments demonstrate that the separation of the results is really helpful in order to better understand the capabilities of a PRID algorithm.

Paper Citation

in Harvard Style

Renò V., Cardellicchio A., Politi T., Guaragnella C. and D'Orazio T. (2016). Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 484-494. DOI: 10.5220/0005822104840494

in Bibtex Style

@conference{icpram16,
author={Vito Renò and Angelo Cardellicchio and Tiziano Politi and Cataldo Guaragnella and Tiziana D'Orazio},
title={Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={484-494},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005822104840494},
isbn={978-989-758-173-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification
SN - 978-989-758-173-1
AU - Renò V.
AU - Cardellicchio A.
AU - Politi T.
AU - Guaragnella C.
AU - D'Orazio T.
PY - 2016
SP - 484
EP - 494
DO - 10.5220/0005822104840494