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   Articles with "person reidentification" as a keyword



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Mining Hard Samples Globally and Efficiently for Person Reidentification

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recommendations! 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
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Improving Person Reidentification Using a Self-Focusing Network in Internet of Things

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recommendations! 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
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PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification

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recommendations! 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
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Construction of Diverse DropBlock Branches for Person Reidentification

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recommendations! 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
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Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification

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recommendations! 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

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recommendations! 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
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Person Reidentification Using Deep Convnets With Multitask Learning

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recommendations! 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
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RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person Reidentification

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recommendations! 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
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Self-Regulation Feature Network for Person Reidentification

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recommendations! 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

Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning

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recommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2736640

Abstract: Person reidentification has attracted extensive research efforts in recent years. It is challenging due to the varied visual appearance from illumination, view angle, background, and possible occlusions, leading to the difficulties when measuring the relevance,… read more here.

Keywords: relevance; pairwise; person reidentification; person ... See more keywords

Kernel multiblock partial least squares for a scalable and multicamera person reidentification system

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recommendations! Published in 2018 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.27.3.033041

Abstract: Abstract. Person reidentification (Re-ID) aims at establishing global identities for individuals as they move across a camera network. It is a challenging task due to the drastic appearance changes that occur between cameras as a… read more here.

Keywords: multiblock partial; least squares; person reidentification; kernel multiblock ... See more keywords