Computer vision applications in intelligent transportation systems: a survey

E Dilek, M Dener - Sensors, 2023 - mdpi.com
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

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 …

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 …

Sharc: Shape and appearance recognition for person identification in-the-wild

H Zhu, W Zheng, Z Zheng… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Identifying individuals in unconstrained video settings is a valuable yet challenging task in
biometric analysis due to variations in appearances, environments, degradations, and …

Mevid: Multi-view extended videos with identities for video person re-identification

D Davila, D Du, B Lewis, C Funk… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for
large-scale, video person re-identification (ReID) in the wild. To our knowledge, MEVID …

Automatic repetitive action counting for construction worker ergonomic assessment

X Chen, Y Yu - Automation in Construction, 2024 - Elsevier
Work-related musculoskeletal disorders are the primary cause of nonfatal occupational
injuries in the construction industry. Accurate ergonomic assessment is essential to reduce …

TF-CLIP: Learning text-free CLIP for video-based person re-identification

C Yu, X Liu, Y Wang, P Zhang, H Lu - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Large-scale language-image pre-trained models have shown superior performances on
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …

Cross-platform video person reid: A new benchmark dataset and adaptation approach

S Zhang, W Luo, D Cheng, Q Yang, L Ran… - … on Computer Vision, 2024 - Springer
In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-
based person Re-Identification, named G2A-VReID, which comprises 185,907 images and …

Skip connection aggregation transformer for occluded person reidentification

H Fan, X Wang, Q Wang, S Fu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The occlusion problem is a significant challenge for person reidentification. Recently,
transformer-based methods have been introduced to solve the occlusion problem and …

Prediction method of impact deformation mode based on multimodal fusion with point cloud sequences: applied to thin-walled structures

C Yang, Z Li, P Xu, H Huang, Y Huo, Y Wei - Advanced Engineering …, 2024 - Elsevier
One of the challenges in solving the structural crashworthiness optimisation problem under
impact deformation constraints is to construct an efficient and concise representation method …