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 …
and it is crucial for the construction of smart cities. With the rapid development of deep …
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification
Vehicle re-identification (reID) aims to identify vehicles across different cameras that have
non-overlapping views. Most existing vehicle reID approaches train the reID model with well …
non-overlapping views. Most existing vehicle reID approaches train the reID model with well …
[HTML][HTML] Multi-object multi-camera tracking based on deep learning for intelligent transportation: A review
L Fei, B Han - Sensors, 2023 - mdpi.com
Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …
multiple objects from video captured by multiple cameras. With the advancement of …
Transformer-based domain-specific representation for unsupervised domain adaptive vehicle re-identification
Fully-supervised vehicle re-identification (re-ID) methods are faced with performance
degradation when applied to new image domains. Therefore, developing unsupervised …
degradation when applied to new image domains. Therefore, developing unsupervised …
Inter-domain adaptation label for data augmentation in vehicle re-identification
Q Wang, W Min, Q Han, Q Liu, C Zha… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle re-identification (Re-ID) methods often fail to achieve robust performance due to
insufficient training data and domain diversities. Although state-of-the-art methods apply …
insufficient training data and domain diversities. Although state-of-the-art methods apply …
Unsupervised vehicle re-identification with progressive adaptation
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping
cameras views. The existing methods heavily relied on well-labeled datasets for ideal …
cameras views. The existing methods heavily relied on well-labeled datasets for ideal …
Application of deep learning for weapons detection in surveillance videos
TSS Hashmi, NU Haq, MM Fraz… - … conference on digital …, 2021 - ieeexplore.ieee.org
Weapon detection is a very serious and intense issue as far as the security and safety of the
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …
Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild
Existing unsupervised domain adaptation (UDA) tasks require extensive annotated wild data
in the source domain to be generalized to the target domain. Additionally, the large gap …
in the source domain to be generalized to the target domain. Additionally, the large gap …
[HTML][HTML] Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics
R Greer, A Gopalkrishnan, M Keskar… - Pattern Recognition …, 2024 - Elsevier
This paper explores the representation of vehicle lights in computer vision and its
implications for various pattern recognition tasks in autonomous driving. Different …
implications for various pattern recognition tasks in autonomous driving. Different …
Mask-aware pseudo label denoising for unsupervised vehicle re-identification
As a significant part of Intelligent Transportation System (ITS), vehicle Re-Identification (Re-
ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …
ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …