Person Re-identification based on Human Query on Soft Biometrics using SVM Regression

Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento

Abstract

We propose a novel methodology for person re-identification (Re-ID) based on the biometric description of the upper-torso region of the human body. The proposed methodology leverages soft biometrics via Support Vector Regression (SVR) and Shape Context (SC) features obtained from the upper-torso silhouette of the human body. First, mappings from the upper-torso Shape Context to soft biometrics are learned from virtual avatars rendered by computer graphics engines, to circumvent the need for time consuming manual labelling of human datasets. Second, it is possible to formulate a human query of a given suspect against a gallery of previously stored soft biometrics. At this point, the proposed system is able to provide a ranked list of the persons, based on the description given. Third, an extensive study on the different regression methodologies to achieve the above mentioned mappings is carried out. We also conduct real time Re-ID experiments in an existing Re-ID dataset, and promising results are reported.

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Paper Citation


in Harvard Style

Nambiar A., Bernardino A. and Nascimento J. (2016). Person Re-identification based on Human Query on Soft Biometrics using SVM Regression . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 484-492. DOI: 10.5220/0005679404840492


in Bibtex Style

@conference{visapp16,
author={Athira Nambiar and Alexandre Bernardino and Jacinto C. Nascimento},
title={Person Re-identification based on Human Query on Soft Biometrics using SVM Regression},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={484-492},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005679404840492},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Person Re-identification based on Human Query on Soft Biometrics using SVM Regression
SN - 978-989-758-175-5
AU - Nambiar A.
AU - Bernardino A.
AU - Nascimento J.
PY - 2016
SP - 484
EP - 492
DO - 10.5220/0005679404840492