Person re-identification using deep learning networks: A systematic review

A Yadav, DK Vishwakarma - arXiv preprint arXiv:2012.13318, 2020 - arxiv.org
Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …

Deep learning algorithms for person re-identification: sate-of-the-art and research challenges

A Yadav, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …

State-of-the-arts person re-identification using deep learning

S Jaiswal, DK Vishwakarma - 2019 6th International …, 2019 - ieeexplore.ieee.org
Person Re-Identification has become prominent because of various reasons majorly due to
its high-performance methods based on deep-learning. It is the process of person …

Deep learning for person re-identification: A survey and outlook

M Ye, J Shen, G Lin, T Xiang, L Shao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …

Deep learning-based person re-identification methods: A survey and outlook of recent works

Z Ming, M Zhu, X Wang, J Zhu, J Cheng, C Gao… - Image and Vision …, 2022 - Elsevier
In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

Person re-identification with hierarchical deep learning feature and efficient xqda metric

M Zeng, C Tian, Z Wu - Proceedings of the 26th ACM international …, 2018 - dl.acm.org
Feature learning and metric learning are two important components in person re-
identification (re-id). In this paper, we utilize both aspects to refresh the current State-Of-The …

Survey on deep learning techniques for person re-identification task

B Lavi, MF Serj, I Ullah - arXiv preprint arXiv:1807.05284, 2018 - arxiv.org
Intelligent video-surveillance is currently an active research field in computer vision and
machine learning techniques. It provides useful tools for surveillance operators and forensic …

Master and rookie networks for person re-identification

D Avola, M Cascio, L Cinque, A Fagioli… - Computer Analysis of …, 2019 - Springer
Recognizing different visual signatures of people across non-overlapping cameras is still an
open problem of great interest for the computer vision community, especially due to its …

Deep transfer learning for person re-identification

M Geng, Y Wang, T Xiang, Y Tian - arXiv preprint arXiv:1611.05244, 2016 - arxiv.org
Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a
deep model with millions of parameters on a small training set of few or no labels. In this …

Person re-identification: Past, present and future

L Zheng, Y Yang, AG Hauptmann - arXiv preprint arXiv:1610.02984, 2016 - arxiv.org
Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …