Occluded person re-identification with deep learning: a survey and perspectives

E Ning, C Wang, H Zhang, X Ning, P Tiwari - Expert systems with …, 2024 - Elsevier
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

Body part-based representation learning for occluded person re-identification

V Somers, C De Vleeschouwer… - Proceedings of the …, 2023 - openaccess.thecvf.com
Occluded person re-identification (ReID) is a person retrieval task which aims at matching
occluded person images with holistic ones. For addressing occluded ReID, part-based …

Feature erasing and diffusion network for occluded person re-identification

Z Wang, F Zhu, S Tang, R Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Occluded person re-identification (ReID) aims at matching occluded person images to
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …

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 …

Deep learning based occluded person re-identification: A survey

Y Peng, J Wu, B Xu, C Cao, X Liu, Z Sun… - ACM Transactions on …, 2023 - dl.acm.org
Occluded person re-identification (Re-ID) focuses on addressing the occlusion problem
when retrieving the person of interest across non-overlap** cameras. With the increasing …

Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification

E Ning, Y Wang, C Wang, H Zhang, X Ning - Neural Networks, 2024 - Elsevier
A proposed method, Enhancement, integration, and Expansion, aims to activate the
representation of detailed features for occluded person re-identification. Region and context …

Learning feature recovery transformer for occluded person re-identification

B Xu, L He, J Liang, Z Sun - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
One major issue that challenges person re-identification (Re-ID) is the ubiquitous occlusion
over the captured persons. There are two main challenges for the occluded person Re-ID …

Dynamic prototype mask for occluded person re-identification

L Tan, P Dai, R Ji, Y Wu - Proceedings of the 30th ACM international …, 2022 - dl.acm.org
Although person re-identification has achieved an impressive improvement in recent years,
the common occlusion case caused by different obstacles is still an unsettled issue in real …

Erasing, transforming, and noising defense network for occluded person re-identification

N Dong, L Zhang, S Yan, H Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …

Occlusion-aware human mesh model-based gait recognition

C Xu, Y Makihara, X Li, Y Yagi - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Partial occlusion of the human body caused by obstacles or a limited camera field of view
often occurs in surveillance videos, which affects the performance of gait recognition in …