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, 2022 Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras having varying orientations and field of views.
Chasmai, Mustafa Ebrahim +1 more
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Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao, Wanli Oyang, Xiaogang Wang
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Person re-identification using soft biometrics
Signal, Image and Video Processing, 2023 Abstract Pedestrian characteristics like bags, gender, clothes, or short hair might affect in identifying people in video surveillance. Due to variation in poses, illumination, background, and camera views, the fundamental problem in pedestrian attribute detection is the significant variation in visual manifestation and position of attributes ...
Fouaze Moussi +2 more
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Modeling Unknown Class Centers for Metric Learning on Person Re-Identification
IEEE Access, 2018 Metric learning is one of the major methods for person re-identification. Most existing metric learning methods for person re-identification first generate the pairwise constraints where the sample pairs with the same labels consist of the positive set ...
Yuan Yuan, Jian'an Zhang, Qi Wang
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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
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Semantics-Aligned Representation Learning for Person Re-identification
, 2020 Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally semantically misaligned due to the diversity of human poses and capture ...
Chen, Zhibo +4 more
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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
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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
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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
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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