Occluded person re-identification with deep learning: a survey and perspectives
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
surveillance systems. Widespread occlusion significantly impacts the performance of person …
Body part-based representation learning for occluded person re-identification
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 …
occluded person images with holistic ones. For addressing occluded ReID, part-based …
Feature erasing and diffusion network for occluded person re-identification
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 …
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 …
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
Deep learning based occluded person re-identification: A survey
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 …
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
A proposed method, Enhancement, integration, and Expansion, aims to activate the
representation of detailed features for occluded person re-identification. Region and context …
representation of detailed features for occluded person re-identification. Region and context …
Learning feature recovery transformer for occluded person re-identification
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 …
over the captured persons. There are two main challenges for the occluded person Re-ID …
Dynamic prototype mask for occluded person re-identification
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 …
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
Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …
and existing methods that rely on external visual cues require additional computational …
Occlusion-aware human mesh model-based gait recognition
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 …
often occurs in surveillance videos, which affects the performance of gait recognition in …