A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Parameter-Efficient Person Re-identification in the 3D Space
[article]
2021
arXiv
pre-print
Preserved Fulltext
Other Versions
To our knowledge, we are among the first attempts to conduct person re-identification in the 3D space. ...
However, existing works on person re-identification (re-id) mostly consider the semantic representation learning in a 2D space, intrinsically limiting the understanding of people. ...
In this work, we conduct the person re-identification in the 3D space, and learn a new type of robust re-id feature. ...
arXiv:2006.04569v3
fatcat:4bjdlqpuvzendmg5xehnidpw4m
Guest Editorial Introduction to the Special Section on Intelligent Visual Content Analysis and Understanding
2020
IEEE transactions on circuits and systems for video technology (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Person Re-Identification refers to matching persons captured by multiply cameras. ...
In addition to network design, "Top-push constrained modality-adaptive dictionary learning for cross-modality person re-identification," by Zhang et al., discusses the crossmodality person re-identification ...
doi:10.1109/tcsvt.2020.3031416
fatcat:gpwbmydqbza5lddatxcfcidwcq
Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild
[chapter]
2018
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper addresses the scalability and robustness issues of estimating labels from imbalanced unlabeled data for unsupervised video-based person re-identification (re-ID). ...
After that, a robust and efficient top-k counts label prediction strategy is proposed to predict the labels of unlabeled image sequences. ...
Acknowledgments This work is partially supported by Hong Kong RGC General Research Fund HKBU (12254316), and National Natural Science Foundation of China (61562048). ...
doi:10.1007/978-3-030-01234-2_11
fatcat:dycgvmar55efdmx2dxzdib7yq4
Context-Aware Hypergraph Modeling for Re-identification and Summarization
2016
IEEE transactions on multimedia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We consider the problem of person re-identification and tracking, and propose a novel clothing context-aware color extraction method that is robust to such changes. ...
A hypergraph representation is used to link related objects for search and re-identification. A diverse hypergraph ranking technique is proposed for person-focused network summarization. ...
This paper extends these by modeling color drift in such networks and including such contextual information within a graph ranking procedure for person re-identification tasks.
B. ...
doi:10.1109/tmm.2015.2496139
fatcat:vpnool2wfzdgvdhppf53jagx2y
Dynamic Label Graph Matching for Unsupervised Video Re-identification
2017
2017 IEEE International Conference on Computer Vision (ICCV)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Label estimation is an important component in an unsupervised person re-identification (re-ID) system. ...
Specifically, we propose to construct a graph for samples in each camera, and then graph matching scheme is introduced for cross-camera labeling association. ...
[35] , and then a graph matching procedure is conducted to do re-identification. (2) Establishing a graph for each camera view, Hamid et al ...
doi:10.1109/iccv.2017.550
dblp:conf/iccv/YeMZLY17
fatcat:rqkdhr3hsbcdxdw6gq5edqddxa
Person re-identification via rich color-gradient feature
2016
2016 IEEE International Conference on Multimedia and Expo (ICME)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Person re-identification refers to match the same pedestrian across disjoint views in non-overlapping camera networks. ...
Experimental results on three public datasets, VIPeR, CAVIAR and CUHK01, show the promise of the proposed approach. Index Terms-Person re-identification, encoding color space, second order histogram ...
[10] formulated person re-id as a graph matching problem and represented person as a graph, which aimed not only at rejecting erroneous matches but also selecting additional useful ones. ...
doi:10.1109/icme.2016.7552869
dblp:conf/icmcs/WuWZXL16
fatcat:eaq5gyqylbh5bhsjkm7ldn4age
Person re-identification via efficient inference in fully connected CRF
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we address the problem of person re-identification problem, i.e., retrieving instances from gallery which are generated by the same person as the given probe image. ...
A label variable is associated with each node to indicate whether the corresponding image is from target person. ...
One of them is focusing on designing suitable feature representation for person re-identification. ...
arXiv:1506.06905v1
fatcat:jlbmfnrvlje4tlwfzpiv7uz5t4
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This index covers all technical items-papers, correspondence, reviews, etc.-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TPAMI March 2021 1085-1091 A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-Identification. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Learning Multi-Attention Context Graph for Group-Based Re-Identification
2020
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2104.14236v1 fatcat:4scymwzqfbgzrhvoox7xpvzm5a
A multi-level attention mechanism is developed to formulate both intra- and inter-group context, with an additional self-attention module for robust graph-level representations. ...
., group re-id and group-aware person re-id. Specifically, we construct a context graph to exploit dependencies among different people. ...
PREF [49] learns a feature dictionary for single person re-id and then transfers it for group appearance encoding. ...
doi:10.1109/tpami.2020.3032542
pmid:33079658
fatcat:53pzxlxw7fg6bg4chkqvwikts4
Dual Regularized KISS Metric Learning for Person Reidentification
2018
International Journal of Trend in Scientific Research and Development
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To overcome this problem, it introduces regularization techniques to improve the keep it simple and straightforward ( learning for person re-identification. ...
Person re-identification denotes to the task of matching images of walkers across different camera views at different locations, and the system is particularly popular for video investigation. ...
Besides distance metric learning based matching schemes, contextual cues are very useful for improving the accuracy and robustness of person re-identification. ...
doi:10.31142/ijtsrd13015
fatcat:fif5irzu4be7togcmlsrxkamry
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This index covers all technical items-papers, correspondence, reviews, etc.-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TIP 2021 92-107 Robust and Efficient Graph Correspondence Transfer for Person Re-Identification. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
The Re-identification Challenge
[chapter]
2014
Person Re-Identification
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
This chapter introduces the re-identification problem, highlights the difficulties in building person re-identification systems, and presents an overview of recent progress and the state-of-the-art approaches ...
Whilst solving the person re-identification problem is inherently challenging, it also promises enormous potential for a wide range of practical applications, ranging from security and surveillance to ...
Chapter 5 embeds middle-level cloth attributes via a latent SVM framework for more robust person re-identification. ...
doi:10.1007/978-1-4471-6296-4_1
dblp:series/acvpr/GongCLH14
fatcat:l7jbhs4g2jgcxdjceywbszb374
Pose-Guided Multi-Scale Structural Relationship Learning for Video-Based Pedestrian Re-Identification
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
How to extract discriminative features from redundant video information is a key issue for video pedestrian re-identification. ...
INDEX TERMS Pedestrian re-identification, relationship model, graph convolutional network, multi-scale structure relationship. ...
Extracting robust feature representations is the key to pedestrian re-identification. ...
doi:10.1109/access.2021.3062967
fatcat:rec42qjynbg7dhpbfvvwy7t3ja
Unsupervised Person Re-identification via Multi-order Cross-view Graph Adversarial Network
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Unsupervised person re-identification (re-id) is an effective analysis for video surveillance in practice, which can train a pedestrian matching model without any annotations, and it is easy to deploy ...
INDEX TERMS Unsupervised person re-identification, cross-view graph, graph adversarial network, multi-order correlations. ...
[9] designed a domain-transferred graph neural network for group re-identification, and the method can obtain robust representation for group images with style-transfer and graph-convolution. ...
doi:10.1109/access.2020.3048834
fatcat:v3bhppj4qnccjmsmmrzfgbwie4
PRISM: Person Re-Identification via Structured Matching
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Person re-identification (re-id), an emerging problem in visual surveillance, deals with maintaining entities of individuals whilst they traverse various locations surveilled by a camera network. ...
We implement PRISM on single shot and multi-shot scenarios. PRISM uniformly outperforms state-of-the-art in terms of matching rate while being computationally efficient. ...
Robust Person Re-identification In this experiment, we would like to demonstrate the robustness of our method by including the missing match scenarios for re-id. ...
arXiv:1406.4444v4
fatcat:qu2e4fskkfgtzgwwxbs7cei7va
« Previous
Showing results 1 — 15 out of 25,058 results