Discriminative feature and dictionary learning with part-aware model for vehicle re-identification

H Wang, J Peng, G Jiang, F Xu, X Fu - Neurocomputing, 2021 - Elsevier
With the development of smart cities, urban surveillance video analysis plays a further
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …

Group-group loss-based global-regional feature learning for vehicle re-identification

X Liu, S Zhang, X Wang, R Hong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Vehicle Re-Identification (Re-ID) is challenging because vehicles of the same model
commonly show similar appearance. We tackle this challenge by proposing a Global …

Attributes guided feature learning for vehicle re-identification

H Li, X Lin, A Zheng, C Li, B Luo, R He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in
smart city and urban surveillance. However, it suffers from large intra-class variation caused …

Structural analysis of attributes for vehicle re-identification and retrieval

Y Zhao, C Shen, H Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Vehicle re-identification plays an important role in video surveillance applications. Despite
the efforts made on this problem in the past few years, it remains a challenging task due to …

A structured graph attention network for vehicle re-identification

Y Zhu, ZJ Zha, T Zhang, J Liu, J Luo - Proceedings of the 28th ACM …, 2020 - dl.acm.org
Vehicle re-identification aims to identify the same vehicle across different surveillance
cameras and plays an important role in public security. Existing approaches mainly focus on …

Coarse-to-fine sparse self-attention for vehicle re-identification

F Huang, X Lv, L Zhang - Knowledge-Based Systems, 2023 - Elsevier
Existing vehicle re-identification (Re-ID) methods usually combine global features and local
features to meet the challenge of inter-class similarity and intra-class variance, but almost all …

Trends in vehicle re-identification past, present, and future: A comprehensive review

Zakria, J Deng, Y Hao, MS Khokhar, R Kumar, J Cai… - Mathematics, 2021 - mdpi.com
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …

Multi-attribute driven vehicle re-identification with spatial-temporal re-ranking

N Jiang, Y Xu, Z Zhou, W Wu - 2018 25th IEEE international …, 2018 - ieeexplore.ieee.org
Vehicle re-identification (re-id) is a promising topic, which focuses on retrieving the same
vehicles across different cameras. It is challenging due to the variations of illumination and …

Learning multi-region features for vehicle re-identification with context-based ranking method

J Peng, H Wang, T Zhao, X Fu - Neurocomputing, 2019 - Elsevier
Vehicle re-identification is to identify a target vehicle in different cameras with non-
overlapping views. It is a challenging task due to various viewpoints of vehicles, diversified …

URRNet: A Unified Relational Reasoning Network for Vehicle Re-Identification

J Qian, M Pan, W Tong, R Law… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the continuous improvement and optimization of security monitoring networks, vehicle
Re-Identification (Re-ID) becomes an emerging key technology in the development of …