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Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch [article]

Kaiyang Zhou, Tao Xiang
2019 arXiv   pre-print
In this paper, we present Torchreid, a software library built on PyTorch that allows fast development and end-to-end training and evaluation of deep re-ID models.  ...  Person re-identification (re-ID), which aims to re-identify people across different camera views, has been significantly advanced by deep learning in recent years, particularly with convolutional neural  ...  With a similar goal, Torchreid is specifically designed for DL and person re-ID research.  ... 
arXiv:1910.10093v1 fatcat:qhetgjue7bbdxed4ldxcn3slyu

Study on Design and Implementation of Distributed Multiple Camera Surveillance and Tracking System

Sureshkumar Jha, Rohan Sawant, Parth Shinde, Rakhi Kalantri, Shagufta Rajguru, M.D. Patil, V.A. Vyawahare
2021 ITM Web of Conferences  
This work proposes a system to successfully track, identify and tag target objects or individuals in a real time environment. Consider a sequence of cameras installed in an environment or a facility.  ...  Design and analysis a distributed algorithm for the optimization of the recognition and mapping of the given subject/subjects on a User Interface.  ...  TorchReid Torch Reid is a library for person identification written in PyTorch. provides a unified interface for all the ReID operations.  ... 
doi:10.1051/itmconf/20214003036 fatcat:5d7mwn6nffar7npc654ol6hchi

How important are faces for person re-identification?

Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Using a crosssection of existing state-of-the-art models that range in accuracy and computational efficiency, we evaluate the effect of this anonymization on re-identification performance using standard  ...  We apply a face detection and blurring algorithm to create anonymized versions of several popular person re-identification datasets including Market1501, DukeMTMC-reID, CUHK03, Viper, and Airport.  ...  [20] highlight the fact that almost all methods for person re-identification in three top conferences (CVPR, ICCV, ECCV) in recent years are based on deep learning.  ... 
doi:10.1109/icpr48806.2021.9412340 fatcat:dpcgp3vkafaenhcq46l4muifae

Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway

Ching-Han Chen, Chao-Tsu Liu
2021 Electronics  
With the increase in the number of surveillance cameras being deployed globally, an important topic is person re-identification (Re-ID), which identifies the same person from multiple different angles  ...  In this study, we designed a Re-ID system at the AIoT EC gateway, which utilizes a microservice to perform Re-ID calculations on EC and balances efficiency with privacy protection.  ...  Recent research has relied on the advancement of deep learning [13, 14] . Generally, building a person Re-ID system for a specific scenario requires the following five steps: 1.  ... 
doi:10.3390/electronics10182264 fatcat:yp2w773hdnd3xaqetsndpb6i3q

How important are faces for person re-identification? [article]

Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor
2020 arXiv   pre-print
Using a cross-section of existing state-of-the-art models that range in accuracy and computational efficiency, we evaluate the effect of this anonymization on re-identification performance using standard  ...  We apply a face detection and blurring algorithm to create anonymized versions of several popular person re-identification datasets including Market1501, DukeMTMC-reID, CUHK03, Viper, and Airport.  ...  [20] highlight the fact that almost all methods for person re-identification in three top conferences (CVPR, ICCV, ECCV) in recent years are based on deep learning.  ... 
arXiv:2010.06307v1 fatcat:g2cwizvcvjayfpdyg33nsizrka

Multi-Modal Long-Term Person Re-Identification Using Physical Soft Bio-Metrics and Body Figure

Nadeen Shoukry, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem
2022 Applied Sciences  
Person re-identification is the task of recognizing a subject across different non-overlapping cameras across different views and times.  ...  The work presented in this paper addresses the task of long-term re-identification. Therefore, the proposed model is trained on a dataset that incorporates clothes variation.  ...  Informed Consent Statement: Not applicable. [26] is a publicly available dataset: https://www.resear chgate.net/publication/345351618_Learning_Shape_Representations_for_Person_Re-Identification_ under_Clothing_Change  ... 
doi:10.3390/app12062835 fatcat:qr6wtrktrjdzlbfgk2llipmtky

Multi-Agent Robot System to Monitor and Enforce Physical Distancing Constraints in Large Areas to Combat COVID-19 and Future Pandemics

Syed Hammad Hussain Shah, Ole-Martin Hagen Steinnes, Eirik Gribbestad Gustafsson, Ibrahim A. Hameed
2021 Applied Sciences  
We used a distributed network of multiple CCTV cameras mounted to the walls of buildings for the detection, tracking and re-identification of non-compliant groups.  ...  to re-identify them in case of repetitive non-compliance and enforcing physical distancing.  ...  Acknowledgments: The authors are grateful to the Norwegian University of Science and Technology (NTNU) for their support. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11167200 fatcat:2avrhqtovbaele7z5qokm43dfm

Learning Sparse and Identity-preserved Hidden Attributes for Person Re-identification

Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, Shinrichi Satoh
2019 IEEE Transactions on Image Processing  
Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera views.  ...  However, to train a prediction model for semantic attributes, it requires plenty of annotations, which are hard to obtain in practical large-scale applications.  ...  is a library built on PyTorch for deep-learning person re-identification.  ... 
doi:10.1109/tip.2019.2946975 pmid:31634836 fatcat:quyzq53xyrazxfmelq2wu2j7v4

Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning [article]

Vladislav Sovrasov, Dmitry Sidnev
2020 arXiv   pre-print
This work considers the problem of domain shift in person re-identification.Being trained on one dataset, a re-identification model usually performs much worse on unseen data.  ...  Partially this gap is caused by the relatively small scale of person re-identification datasets (compared to face recognition ones, for instance), but it is also related to training objectives.  ...  Our training code is based on the Torchreid library [60] and available as a part of the OpenVINO R Training Extensions toolkit 2 . A.  ... 
arXiv:2003.07618v2 fatcat:xwocukcx5feoxlsmffxz3kbxmm

MixStyle Neural Networks for Domain Generalization and Adaptation [article]

Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021 arXiv   pre-print
retrieval, and reinforcement learning.  ...  One way to improve domain generalization is to collect diverse source data from multiple relevant domains so that a CNN model is allowed to learn more domain-invariant, and hence generalizable representations  ...  Xiang, “Torchreid: A library for deep learning per- son re-identification in pytorch,” arXiv preprint arXiv:1910.10093, 2019. [69] L. Espeholt, H. Soyer, R. Munos, K. Simonyan, V. Mnih, T.  ... 
arXiv:2107.02053v1 fatcat:6hflai4ikbehtldxbq5xxsbvme

An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes [article]

Mehdi Miah, Justine Pepin, Nicolas Saunier, Guillaume-Alexandre Bilodeau
2020 arXiv   pre-print
Commonly used features are color histograms, histograms of oriented gradients, deep features from convolutional neural networks and re-identification (ReID) features.  ...  This paper addresses the problem of selecting appearance features for multiple object tracking (MOT) in urban scenes. Over the years, a large number of features has been used for MOT.  ...  OSNet-AIN weights were pretrained by [22] on ImageNet and fine-tuned on Market1501 [40] and are available in the torchreid library [41] .  ... 
arXiv:2010.07881v1 fatcat:ybrmxeh6gredhpqgohqxp4pdle

Visualizing Color-wise Saliency of Black-Box Image Classification Models [article]

Yuhki Hatakeyama
2020 arXiv   pre-print
Image classification based on machine learning is being commonly used. However, a classification result given by an advanced method, including deep learning, is often hard to interpret.  ...  This problem of interpretability is one of the major obstacles in deploying a trained model in safety-critical systems.  ...  Acknowledgment We thank the reviewers for their fruitful comments. References  ... 
arXiv:2010.02468v1 fatcat:wk4knwogjbhann2oj5gv5753sa

Person Re-identification on Mobile Devices Based on Deep Learning

Miaomiao Zhu, Shengrong Gong, Zhenjiang Qian, Lifeng Zhang
2020 Proceedings of The 8th IIAE International Conference on Industrial Application Engineering 2020   unpublished
a complete process for person reidentification with mobile devices, which aims to combine pedestrian detection with person re-identification to perform real-time pedestrian detection and query.  ...  In this paper, based on the existing deep learning person reidentification research and combining with the actual application scenarios on the premise of analyzing the technical feasibility, we propose  ...  Therefore, after studying and comparing multiple existing person re-identification models, we use OS-Net and Torchreid, (35) , (36) a library for deep-learning person re-identification in PyTorch, fast  ... 
doi:10.12792/iciae2020.044 fatcat:6pkgcxtwwrdyvpjlthghhx773u

Multi-Modal Long-Term Person Re-Identification Using Physical Soft Bio-Metrics and Body Figure

Nadeen Shoukry, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem
2022
Person re-identification is the task of recognizing a subject across different non-overlapping cameras across different views and times.  ...  The work presented in this paper addresses the task of long-term re-identification. Therefore, the proposed model is trained on a dataset that incorporates clothes variation.  ...  Informed Consent Statement: Not applicable. [26] is a publicly available dataset: https://www.resear chgate.net/publication/345351618_Learning_Shape_Representations_for_Person_Re-Identification_ under_Clothing_Change  ... 
doi:10.26083/tuprints-00021107 fatcat:wdh5x5ti7zadrceenkkupij5fe