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CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification [article]

Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li
2021 arXiv   pre-print
Visible-infrared cross-modality person re-identification is a challenging ReID task, which aims to retrieve and match the same identity's images between the heterogeneous visible and infrared modalities  ...  To solve these problems, we propose a cross-modality transformer-based method (CMTR) for the visible-infrared person re-identification task, which can explicitly mine the information of each modality and  ...  For the two-stream or multi-stream CNN methods, Ye et al. successively proposed the BDTR framework Visible-infrared Person Re-identification.  ... 
arXiv:2110.08994v1 fatcat:yjkremq7sfbjtdyheplvxg44vm

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes

Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020 IEEE transactions on circuits and systems for video technology (Print)  
The article "SDL: Spectrum-disentangled representation learning for visible-infrared person re-identification" by K.  ...  The work "Complementation-reinforced attention network for person re-identification" by C.  ... 
doi:10.1109/tcsvt.2020.3017118 fatcat:znxhng7ednfbdjxxyn3m23gorq

ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset [chapter]

Vladimir V. Kniaz, Vladimir A. Knyaz, Jiří Hladůvka, Walter G. Kropatsch, Vladimir Mizginov
2019 Lecture Notes in Computer Science  
We propose a ThermalGAN framework for cross-modality color-thermal person re-identification (ReID).  ...  We use a stack of generative adversarial networks (GAN) to translate a single color probe image to a multimodal thermal probe set.  ...  ThermalGAN: Color-to-Thermal Image Translation  ... 
doi:10.1007/978-3-030-11024-6_46 fatcat:oy4xf6ltlfcc7pwkc6mbb4mpv4

Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification [article]

Haijun Liu, Xiaoheng Tan
2020 arXiv   pre-print
This paper focuses on the visible-thermal cross-modality person re-identification (VT Re-ID) task, whose goal is to match person images between the daytime visible modality and the nighttime thermal modality  ...  The two-stream network is usually adopted to address the cross-modality discrepancy, the most challenging problem for VT Re-ID, by learning the multi-modality person features.  ...  person re-identification (VT Re-ID) task, whose goal is to match person images between the daytime visible modality and the nighttime thermal modality.  ... 
arXiv:2008.06223v1 fatcat:ktjz7p5ptngufkkk37gisf6v4e

Heterogeneous Visible-Thermal and Visible-Infrared Face Recognition Using Cross-Modality Discriminator Network and Unit-Class Loss

Usman Cheema, Mobeen Ahmad, Dongil Han, Seungbin Moon, Mohammad R. Khosravi
2022 Computational Intelligence and Neuroscience  
The proposed network uses a Deep Relational Discriminator module to learn deep feature relations for cross-domain face matching.  ...  Heterogeneous face recognition (HFR) aims to match face images across different imaging domains such as visible-to-infrared and visible-to-thermal.  ...  While person re-identification considers all existing features of the body, such as clothes, color, height, gait, etc., HFR only considers the face features for identity matching.  ... 
doi:10.1155/2022/4623368 pmid:35310577 pmcid:PMC8933114 fatcat:rbxafnpitraqldywb25hxzdnqa

Deep Learning for Person Re-identification: A Survey and Outlook [article]

Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
2021 arXiv   pre-print
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras.  ...  Meanwhile, we introduce a new evaluation metric (mINP) for person Re-ID, indicating the cost for finding all the correct matches, which provides an additional criteria to evaluate the Re-ID system for  ...  CLOSED-WORLD PERSON RE-IDENTIFICATION This section provides an overview for closed-world person Re-ID.  ... 
arXiv:2001.04193v2 fatcat:4d3thmsr3va2tnu72nawlu2wxy

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification [article]

Guangwei Gao, Hao Shao, Yi Yu, Fei Wu, Meng Yang
2021 arXiv   pre-print
This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match human samples between visible and infrared modes.  ...  Conventional person re-identification is only devoted to single-modality,i.e. all the person images are taken by visible cameras during day time.  ...  METHODS In this part, we will detail our presented method for crossmodality person re-identification, as elaborated in Fig. 1 .  ... 
arXiv:2103.14210v1 fatcat:hde3x6eoijfsbeggbrtolrgmpe

2020 Index IEEE Transactions on Information Forensics and Security Vol. 15

2020 IEEE Transactions on Information Forensics and Security  
., +, TIFS 2020 2469-2484 Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification.  ...  Wang, D., +, TIFS 2020 816-828 Infrared imaging Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification.  ...  G Gait analysis Deep Learning-Based Gait Recognition Using Smartphones in the Wild.  ... 
doi:10.1109/tifs.2021.3053735 fatcat:eforexmnczeqzdj3sc2j4yoige

Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet? [article]

Bahram Lavi, Ihsan Ullah, Mehdi Fatan, Anderson Rocha
2020 arXiv   pre-print
Person re-identification (PReID) is one of the most critical problems in IVS, and it consists of recognizing whether or not an individual has already been observed over a camera in a network.  ...  Different techniques have been proposed to increase the performance of PReID in the literature, and more recently researchers utilized deep neural networks (DNNs) given their compelling performance on  ...  Acknowledgements This research was supported by São Paulo Research Foundation (FAPESP), under the thematic project "DéjàVu: Feature-Space-Time Coherence from Heterogeneous Data for Media Integrity Analytics  ... 
arXiv:2005.00355v1 fatcat:5msfk3apirg6vnpja52iw2qd3e

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Person Re-Identification.  ...  ., +, TIP 2021 8236-8250 An End-to-End Foreground-Aware Network for Person Re-Identification.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Table of Contents

2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Dai (missing) and Anuj Srivastava (missing) Single Image Based Metric Learning via Overlapping Blocks Model for Person Re-Identification 647 Yipeng Chen (missing), Cairong Zhao (missing), and Tianli Sun  ...  Sappa (missing) An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery 980 Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing 1105 Robin Chan  ... 
doi:10.1109/cvprw.2019.00004 fatcat:h7xpqwyrofdxniqtxbodn66mpy

An efficient framework for visible-infrared cross modality person re-identification

Emrah Basaran, Muhittin Gökmen, Mustafa E. Kamasak
2020 Signal processing. Image communication  
A B S T R A C T Visible-infrared cross-modality person re-identification (VI-ReId) is an essential task for video surveillance in poorly illuminated or dark environments.  ...  This issue is studied in literature as visible-infrared crossmodality person re-identification (VI-ReId) [1] [2] [3] [4] [5] .  ...  Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper  ... 
doi:10.1016/j.image.2020.115933 fatcat:2jbxbuw3dnfyzdpym3sibgvye4

Table of Contents

2021 IEEE transactions on multimedia  
for Visible Thermal Person Re-Identification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..Coarse-to-Fine CNN for Image Super-Resolution . . . . . . . . . . . . ..C.  ...  -H.ZhongWatermarking, Encryption, and Data Hiding High Capacity Reversible Data Hiding in Encrypted Image Based on Intra-Block Lossless Compression . . . . . . . . . . . . ..Deep Multi-Patch Matching Network  ... 
doi:10.1109/tmm.2021.3132246 fatcat:el7u2udtybddrpbl5gxkvfricy

From Handcrafted to Deep Features for Pedestrian Detection: A Survey [article]

Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao
2020 arXiv   pre-print
In addition to single-spectral pedestrian detection, we also review multi-spectral pedestrian detection, which provides more robust features for illumination variance.  ...  Over the past decade, significant improvement has been witnessed with the help of handcrafted features and deep features.  ...  other computer vision tasks (e.g., person re-identification and person search).  ... 
arXiv:2010.00456v1 fatcat:o2n7tpammzeyra2sl33hc5gtli

A Comprehensive Overview of Person Re-Identification Approaches

Hongbo Wang, Haomin Du, Yue Zhao, Jiming Yan
2020 IEEE Access  
Person re-identification, identifying and tracking pedestrians in cross-domain monitoring systems, is an important technology in the computer vision field and of real significance for the construction  ...  Moreover, this overview summarizes the difficulties and challenges of re-identification and discusses the possible research directions for reference.  ...  Illustration about the visible thermal person re-identification (VT-REID). Person images from different modalities should be matched [165]. FIGURE 16 . 16 FIGURE 16.  ... 
doi:10.1109/access.2020.2978344 fatcat:amocokxx25btbdeswuqxasox4u
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