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 …

A review on video person re-identification based on deep learning

H Ma, C Zhang, Y Zhang, Z Li, Z Wang, C Wei - Neurocomputing, 2024 - Elsevier
Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlap** cameras. It has attracted increasing attention in recent years due to …

Salient-to-broad transition for video person re-identification

S Bai, B Ma, H Chang, R Huang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Due to the limited utilization of temporal relations in video re-id, the frame-level attention
regions of mainstream methods are partial and highly similar. To address this problem, we …

Image-specific information suppression and implicit local alignment for text-based person search

S Yan, H Tang, L Zhang, J Tang - IEEE transactions on neural …, 2023 - ieeexplore.ieee.org
Text-based person search (TBPS) is a challenging task that aims to search pedestrian
images with the same identity from an image gallery given a query text. In recent years …

An in-depth exploration of person re-identification and gait recognition in cloth-changing conditions

W Li, S Hou, C Zhang, C Cao, X Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
The target of person re-identification (ReID) and gait recognition is consistent, that is to
match the target pedestrian under surveillance cameras. For the cloth-changing problem …

Multidirection and multiscale pyramid in transformer for video-based pedestrian retrieval

X Zang, G Li, W Gao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In video surveillance, pedestrian retrieval (also called person reidentification) is a critical
task. This task aims to retrieve the pedestrian of interest from nonoverlap** cameras …

Towards modality-agnostic person re-identification with descriptive query

C Chen, M Ye, D Jiang - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Person re-identification (ReID) with descriptive query (text or sketch) provides an important
supplement for general image-image paradigms, which is usually studied in a single cross …

An adaptive interference removal framework for video person re-identification

H Tao, Q Duan, J An - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Video person re-identification (V-ReID) can leverage rich spatial-temporal information
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …

Multi-granularity graph pooling for video-based person re-identification

H Pan, Y Chen, Z He - Neural Networks, 2023 - Elsevier
The video-based person re-identification (ReID) aims to identify the given pedestrian video
sequence across multiple non-overlap** cameras. To aggregate the temporal and spatial …

Multi-agent reinforcement learning for cooperative air transportation services in city-wide autonomous urban air mobility

C Park, GS Kim, S Park, S Jung… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the
demand for efficient transportation management systems is a rising need due to the …