survey

Gait-based Person Re-identification: A Survey

Authors:

Athira Nambiar,

Alexandre Bernardino,

Jacinto C. NascimentoAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 52, Issue 2

Article No.: 33, Pages 1 - 34

https://doi.org/10.1145/3243043

Published: 26 April 2019 Publication History

Abstract

The way people walk is a strong correlate of their identity. Several studies have shown that both humans and machines can recognize individuals just by their gait, given that proper measurements of the observed motion patterns are available. For surveillance applications, gait is also attractive, because it does not require active collaboration from users and is hard to fake. However, the acquisition of good-quality measures of a person’s motion patterns in unconstrained environments, (e.g., in person re-identification applications) has proved very challenging in practice. Existing technology (video cameras) suffer from changes in viewpoint, daylight, clothing, accessories, and other variations in the person’s appearance. Novel three-dimensional sensors are bringing new promises to the field, but still many research issues are open. This article presents a survey of the work done in gait analysis for re-identification in the past decade, looking at the main approaches, datasets, and evaluation methodologies. We identify several relevant dimensions of the problem and provide a taxonomic analysis of the current state of the art. Finally, we discuss the levels of performance achievable with the current technology and give a perspective of the most challenging and promising directions of research for the future.

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Gait-based Person Re-identification: A Survey

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 52, Issue 2

March 2020

770 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3320149

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Publication History

Published: 26 April 2019

Accepted: 01 August 2018

Revised: 01 July 2018

Received: 01 February 2017

Published in CSUR Volume 52, Issue 2

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Das SMeher SSahoo U(2024)An adaptive threshold based gait authentication by incorporating quality measuresAI Communications10.3233/AIC-23012137:1(149-168)Online publication date: 21-Mar-2024
https://dl.acm.org/doi/10.3233/AIC-230121
Saad RMoussa MAbdel-Kader NFarouk HMashaly S(2024)Deep video-based person re-identification (Deep Vid-ReID): comprehensive surveyEURASIP Journal on Advances in Signal Processing10.1186/s13634-024-01139-x2024:1Online publication date: 15-May-2024
https://doi.org/10.1186/s13634-024-01139-x
Liu RYao TShi RMei LWang SYin ZJiang WWang SShu YLiu JTan RHe YChen J(2024)Mission: mmWave Radar Person Identification with RGB CamerasProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699340(309-321)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699340
Arkushin DCohen BPeleg SFried O(2024)GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)10.1109/WACVW60836.2024.00021(143-153)Online publication date: 1-Jan-2024
https://doi.org/10.1109/WACVW60836.2024.00021
Hou SHu XCao CLiu XHuang Y(2024)Adaptive Knowledge Transfer for Weak-Shot Gait RecognitionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.342837119(7290-7303)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3428371
Fuyao SJie XHaoliang L(2024)Research on Person Re-Identification Based on Specific Frame Posture Detection2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI)10.1109/SEAI62072.2024.10674270(38-42)Online publication date: 21-Jun-2024
https://doi.org/10.1109/SEAI62072.2024.10674270
Wu QWang ZSu KXu S(2024)GSTNet: Gait Spatio-Temporal Network for Gait Recognition Using Millimeter-Wave RadarICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP48485.2024.10447288(4855-4859)Online publication date: 14-Apr-2024
https://doi.org/10.1109/ICASSP48485.2024.10447288
Chae SYu SKim JLee J(2024)On the Impact of Resolution in Fashion Attribute-based Re- identification2024 IEEE International Conference on Big Data and Smart Computing (BigComp)10.1109/BigComp60711.2024.00055(309-312)Online publication date: 18-Feb-2024
https://doi.org/10.1109/BigComp60711.2024.00055
Jahan MHassan MHossin SHossain MHasan M(2024)Unsupervised person Re-identification: A review of recent worksNeurocomputing10.1016/j.neucom.2023.127193572(127193)Online publication date: Mar-2024
https://doi.org/10.1016/j.neucom.2023.127193
Chouchane ABessaoudi MKheddar HOuamane AVieira THassaballah M(2024)Multilinear subspace learning for Person Re-Identification based fusion of high order tensor featuresEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107521128(107521)Online publication date: Feb-2024
https://doi.org/10.1016/j.engappai.2023.107521
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