research-article

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Authors:

Srikrishna Karanam,

Angels Rates-Borras,

Richard J. RadkeAuthors Info & Claims

IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 41, Issue 3

Pages 523 - 536

https://doi.org/10.1109/TPAMI.2018.2807450

Published: 01 March 2019 Publication History

Abstract

Person re-identification (re-id) is a critical problem in video analytics applications such as security and surveillance. The public release of several datasets and code for vision algorithms has facilitated rapid progress in this area over the last few years. However, directly comparing re-id algorithms reported in the literature has become difficult since a wide variety of features, experimental protocols, and evaluation metrics are employed. In order to address this need, we present an extensive review and performance evaluation of single- and multi-shot re-id algorithms. The experimental protocol incorporates the most recent advances in both feature extraction and metric learning. To ensure a fair comparison, all of the approaches were implemented using a unified code library that includes 11 feature extraction algorithms and 22 metric learning and ranking techniques. All approaches were evaluated using a new large-scale dataset that closely mimics a real-world problem setting, in addition to 16 other publicly available datasets: VIPeR, GRID, CAVIAR, DukeMTMC4ReID, 3DPeS, PRID, V47, WARD, SAIVT-SoftBio, CUHK01, CHUK02, CUHK03, RAiD, iLIDSVID, HDA+, and Market1501. The evaluation codebase and results will be made publicly available for community use.

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Li XChen STian CZhou HZhang Z(2024)M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian DetectionIEEE Transactions on Multimedia10.1109/TMM.2024.338137726(8678-8690)Online publication date: 25-Mar-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3381377
Lu AZhang ZHuang YZhang YLi CTang JWang L(2024)Illumination Distillation Framework for Nighttime Person Re-Identification and a New BenchmarkIEEE Transactions on Multimedia10.1109/TMM.2023.326606626(406-419)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3266066
Liu XZhang PYu CQian XYang XLu H(2024)A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-IdentificationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.338691425:9(12818-12828)Online publication date: 17-May-2024
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cover image IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 41, Issue 3

March 2019

252 pages

ISSN:0162-8828

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Copyright © 2019.

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IEEE Computer Society

United States

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Published: 01 March 2019

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Li XChen STian CZhou HZhang Z(2024)M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian DetectionIEEE Transactions on Multimedia10.1109/TMM.2024.338137726(8678-8690)Online publication date: 25-Mar-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3381377
Lu AZhang ZHuang YZhang YLi CTang JWang L(2024)Illumination Distillation Framework for Nighttime Person Re-Identification and a New BenchmarkIEEE Transactions on Multimedia10.1109/TMM.2023.326606626(406-419)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3266066
Liu XZhang PYu CQian XYang XLu H(2024)A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-IdentificationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.338691425:9(12818-12828)Online publication date: 17-May-2024
https://dl.acm.org/doi/10.1109/TITS.2024.3386914
Jahan MHassan MHossin SHossain MHasan M(2024)Unsupervised person Re-identificationNeurocomputing10.1016/j.neucom.2023.127193572:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.neucom.2023.127193
Yu YWang S(2023)Pioneering and Mining Artificial Intelligence-Driven Design Innovation in the Context of DigitizationProceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering10.1145/3652628.3652816(1145-1152)Online publication date: 17-Nov-2023
https://dl.acm.org/doi/10.1145/3652628.3652816
Peng YWu JXu BCao CLiu XSun ZHe Z(2023)Deep Learning Based Occluded Person Re-Identification: A SurveyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/361053420:3(1-27)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3610534
Chen HWang YLagadec BDantcheva ABremond F(2023)Learning Invariance From Generated Variance for Unsupervised Person Re-IdentificationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.322686645:6(7494-7508)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1109/TPAMI.2022.3226866
Pascotti Valem LPedronette DLatecki L(2023)Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold LearningIEEE Transactions on Image Processing10.1109/TIP.2023.326886832(2811-2826)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TIP.2023.3268868
Li SChen HYu SHe ZZhu FZhao RChen JQiao Y(2023)COCAS+: Large-Scale Clothes-Changing Person Re-Identification With Clothes TemplatesIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2022.321676933:4(1839-1853)Online publication date: 1-Apr-2023
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Zhang BLei HCai YZhong ZJiao Z(2023)COVID-19 contact tracking based on person reidentification and geospatial dataJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10155835:5Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1016/j.jksuci.2023.101558
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