Results 41 to 50 of about 1,298,251 (322)
Structured learning of metric ensembles with application to person re-identification [PDF]
, 2016 Matching individuals across non-overlapping camera networks, known as person re-identification, is a fundamentally challenging problem due to the large visual appearance changes caused by variations of viewpoints, lighting, and occlusion.
Hengel, Anton van den +3 more
core +1 more source
Two‐way constraint network for RGB‐Infrared person re‐identification
Electronics Letters, 2021 RGB‐Infrared person re‐identification (RGB‐IR Re‐ID) is a task aiming to retrieve and match person images between RGB images and IR images. Since most surveillance cameras capture RGB images during the day and IR images at night, RGB‐IR Re‐ID is helpful ...
Haitang Zeng +3 more
doaj +1 more source
Part‐level attention networks for cross‐domain person re‐identification
IET Image Processing, 2021 Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accuracy, poor ...
Qun Zhao +9 more
doaj +1 more source
Spatial-Temporal Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint. Given a query image, conventional methods compute the feature distances between the query image and all the gallery images and return a similarity ranked table.
Wang, Guangcong +3 more
openaire +3 more sources
Person re-identification using visual attention [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Published at IEEE International Conference on Image Processing ...
Rahimpour, Alireza +4 more
openaire +2 more sources
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
, 2015 Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang +3 more
core +1 more source
Person Re-identification in Identity Regression Space [PDF]
International Journal of Computer Vision, 2018 accepted by International Journal of Computer Vision (IJCV)
Hanxiao Wang +3 more
openaire +4 more sources
Identity Adaptation for Person Re-Identification
IEEE Access, 2018 Person re-identification (re-ID), which aims to identify the same individual from a gallery collected with different cameras, has attracted increasing attention in the multimedia retrieval community.
Qiuhong Ke +5 more
doaj +1 more source
Relation Network for Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Person re-identification (reID) aims at retrieving an image of the person of interest from a set of images typically captured by multiple cameras. Recent reID methods have shown that exploiting local features describing body parts, together with a global feature of a person image itself, gives robust feature representations, even in the case of missing
Park, Hyunjong, Ham, Bumsub
openaire +3 more sources
Human Semantic Parsing for Person Re-identification [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished.
Kalayeh, Mahdi M. +4 more
openaire +5 more sources