SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification

Nirbhay Tagore, Pratik Chattopadhyay

2020

Abstract

We propose a novel multi-scale Siamese architecture to perform person re-identification using deep learning. The scenario considered in this work is similar to that found in movie/concert halls, where persons enter in a queue one-by-one through the entry gates and leave in a similar way through the exit gates. Effectiveness of Siamese network based re-identification is evident from the recent research work in this domain. Here, we focus on improving the accuracy of the existing re-identification techniques by introducing different dilation rates in the convolution layers of the Siamese network, thereby enabling capturing of detailed visual features. We also introduce a silhouette part-based analysis to preserve the spatial relationships among the different silhouette segments at a high resolution. The proposed Siamese network model has been fine-tuned through cross-validation and the pre-trained network has been made available for further comparison. Rigorous evaluation of our approach against varying training parameters, as well as comparison with state-of-the-art methods over four popularly used data sets, namely, CUHK 01, CUHK 03, Market1501, and VIPeR, verify its effectiveness.

Paper Citation

in Harvard Style

Tagore N. and Chattopadhyay P. (2020). SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification.In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, ISBN 978-989-758-445-9, pages 103-112. DOI: 10.5220/0009885001030112

in Bibtex Style

@conference{sigmap20,
author={Nirbhay Tagore and Pratik Chattopadhyay},
title={SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,},
year={2020},
pages={103-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009885001030112},
isbn={978-989-758-445-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,
TI - SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification
SN - 978-989-758-445-9
AU - Tagore N.
AU - Chattopadhyay P.
PY - 2020
SP - 103
EP - 112
DO - 10.5220/0009885001030112