Mining Hard Samples Globally and Efficiently for Person Reidentification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2980549
Abstract: Person reidentification (ReID) is an important application of Internet of Things (IoT). ReID recognizes pedestrians across camera views at different locations and time, which is usually treated as a ranking task. An essential part of… read more here.
Keywords: mining; sample mining; person reidentification; hard samples ... See more keywords
Improving Person Reidentification Using a Self-Focusing Network in Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3084978
Abstract: Person reidentification (re-ID), which is a significant and potential application in the Internet of Things (IoT), aims to retrieve pedestrians of interest given a labeled image in a camera network. Now, it is still existing… read more here.
Keywords: network; person reidentification; internet things; attention ... See more keywords
Enhancing Visual Analysis in Person Reidentification With Vision–Language Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2025.3593227
Abstract: Image-based person reidentification aims to match individuals across multiple cameras. Despite advances in machine learning, their effectiveness in real-world scenarios remains limited, often leaving users to handle fine-grained matching manually. Recent work has explored textual… read more here.
Keywords: language; vision language; person reidentification;
Edge-Weight-Embedding Graph Convolutional Network for Person Reidentification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2024.3385381
Abstract: Person reidentification (re-ID) aims to accurately identify the same person in images from a large dataset captured by nonoverlapping cameras. Recently, local-scale features of person representation have been shown to be effective in improving the… read more here.
Keywords: graph convolutional; person reidentification; person; convolutional network ... See more keywords
PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2020.2999445
Abstract: The block-based representation learning method has been proven to be a very effective method for person reidentification (Re-ID), but the features extracted by the existing block-based approach tend to have a high correlation among different… read more here.
Keywords: person; based nondirect; nondirect coupling; person reidentification ... See more keywords
Construction of Diverse DropBlock Branches for Person Reidentification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3096546
Abstract: In this article, we propose to use the data augmentation of batch drop-block with varying dropping ratios for constructing diversity-achieving branches in person reidentification (Re-ID). Since a considerable portion of input images may be dropped,… read more here.
Keywords: person reidentification; person; construction diverse; branches person ... See more keywords
Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2016.2555739
Abstract: Recently, support vector ranking (SVR) has been adopted to address the challenging person reidentification problem. However, the ranking model based on ordinary global features cannot well represent the significant variation of pose and viewpoint across… read more here.
Keywords: support vector; person reidentification; camera; person ... See more keywords
PRISM: Person Reidentification via Structured Matching
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2016.2596159
Abstract: Person reidentification (re-id), an emerging problem in visual surveillance, deals with maintaining the identities of individuals while they traverse various locations surveilled by a camera network. Motivated by real-world scenarios, we propose a method that… read more here.
Keywords: person reidentification; person; prism; structured matching ... See more keywords
Person Reidentification Using Deep Convnets With Multitask Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2016.2619498
Abstract: Person reidentification involves recognizing a person across nonoverlapping camera views, with different pose, illumination, and camera characteristics. We propose to tackle this problem by training a deep convolutional network to represent a person’s appearance as… read more here.
Keywords: multitask learning; network; person reidentification; person ... See more keywords
RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person Reidentification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3183395
Abstract: Visible infrared person reidentification (VI-REID) plays a critical role in night-time surveillance applications. Most methods attempt to reduce the cross-modality gap by extracting the modality-shared features. However, they neglect the distinct image-level discrepancies among heterogeneous… read more here.
Keywords: bidirectional framework; reciprocal bidirectional; infrared person; person reidentification ... See more keywords
Self-Regulation Feature Network for Person Reidentification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3240217
Abstract: The performance of person reidentification (ReID) has been significantly improved with the development of convolutional neural networks in the past few years. Most existing ReID methods focus on modifying the backbone network architecture to learn… read more here.
Keywords: network; srfnet; feature; person reidentification ... See more keywords