A survey of advances in vision-based vehicle re-identification

SD Khan, H Ullah - Computer Vision and Image Understanding, 2019 - Elsevier
Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …

Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval

T Weyand, A Araujo, B Cao… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
While image retrieval and instance recognition techniques are progressing rapidly, there is a
need for challenging datasets to accurately measure their performance--while posing novel …

Gan-siamese network for cross-domain vehicle re-identification in intelligent transport systems

Z Zhou, Y Li, J Li, K Yu, G Kou, M Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …

A survey of vehicle re-identification based on deep learning

H Wang, J Hou, N Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …

Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification

Z Wang, L Tang, X Liu, Z Yao, S Yi… - Proceedings of the …, 2017 - openaccess.thecvf.com
In this paper, we tackle the vehicle Re-identification (ReID) problem which is of great
importance in urban surveillance and can be used for multiple applications. In our vehicle …

Provid: Progressive and multimodal vehicle reidentification for large-scale urban surveillance

X Liu, W Liu, T Mei, H Ma - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
Compared with person reidentification, which has attracted concentrated attention, vehicle
reidentification is an important yet frontier problem in video surveillance and has been …

Learning deep neural networks for vehicle re-id with visual-spatio-temporal path proposals

Y Shen, T Xiao, H Li, S Yi… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Vehicle re-identification is an important problem and has many applications in video
surveillance and intelligent transportation. It gains increasing attention because of the recent …

Group-sensitive triplet embedding for vehicle reidentification

Y Bai, Y Lou, F Gao, S Wang, Y Wu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The widespread use of surveillance cameras toward smart and safe cities poses the critical
but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research …

VehicleNet: Learning robust visual representation for vehicle re-identification

Z Zheng, T Ruan, Y Wei, Y Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
One fundamental challenge of vehicle re-identification (re-id) is to learn robust and
discriminative visual representation, given the significant intra-class vehicle variations …

Embedding adversarial learning for vehicle re-identification

Y Lou, Y Bai, J Liu, S Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The high similarities of different real-world vehicles and great diversities of the acquisition
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …