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Authors: Bahram Lavi 1 ; Mehdi Fatan Serj 2 and Domenec Puig Valls 2

Affiliations: 1 University of Cagliari, Italy ; 2 Universitat Rovira i Virgili, Spain

ISBN: 978-989-758-276-9

Keyword(s): Person Re-Identification, Video Surveillance Systems, Dimensional Reduction Methods.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; ICA, PCA, CCA and other Linear Models ; Image and Video Analysis ; Kernel Methods ; Pattern Recognition ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: One of the goals of person re-identification systems is to support video-surveillance operators and forensic investigators to find an individual of interest in videos acquired by a network of non-overlapping cameras. This is attained by sorting images of previously observed individuals for decreasing values of their similarity with a given probe individual. Existing appearance descriptors, together with their similarity measures, are mostly aimed at improving ranking quality. Many of these descriptors generate a high feature vector represented as an image signature. To tackle person re-identification in real-world scenario the processing time will be crucial, so an individual of interest within a network camera should be found out swiftly. We therefore study some feature reduction methods to achieve a significant trade-off between processing time and ranking quality. Although, observing some redundancies on the generated patterns of a given descriptor are not deniable, we suggest to e mploy a feature reduction method before use of it in real-world scenarios. In particular, we have tested three reduction methods: PCA, KPCA, and Isomap. We then evaluate our study on two benchmark data sets (VIPeR, and i-LIDS), by using two state-of-the-art descriptors on person re-identification task. The results presented in this paper, after applying the feature reduction step, are very promising in terms of recognition rate. (More)

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Paper citation in several formats:
Lavi, B.; Serj, M. and Valls, D. (2018). Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 614-621. DOI: 10.5220/0006717906140621

@conference{icpram18,
author={Bahram Lavi. and Mehdi Fatan Serj. and Domenec Puig Valls.},
title={Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={614-621},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006717906140621},
isbn={978-989-758-276-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task
SN - 978-989-758-276-9
AU - Lavi, B.
AU - Serj, M.
AU - Valls, D.
PY - 2018
SP - 614
EP - 621
DO - 10.5220/0006717906140621

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