HID 2022: The 3rd International Competition on Human Identification at a Distance

Conference paper

Yu, S., Huang, Y., Wang, L., Makihara, Y., Wang, S., Ahad, M. and Nixon, M. 2022. HID 2022: The 3rd International Competition on Human Identification at a Distance. IJCB 2022: IEEE International Joint Conference on Biometrics. Abu Dhabi, UAE 10 - 13 Dec 2023 IEEE. https://doi.org/10.1109/IJCB54206.2022.10007993
AuthorsYu, S., Huang, Y., Wang, L., Makihara, Y., Wang, S., Ahad, M. and Nixon, M.
TypeConference paper
Abstract

The paper provides a summary of the Competition on Human Identification at a Distance 2022 (HID 2022), which is the third one in a series of competitions. HID 2022 is for promoting the research in human identification at a distance by providing a benchmark to evaluate different methods. The competition attracted 112 valid registered teams. 71 teams and 51 teams submitted their results in the first phase and the second phase, respectively. Very encouraging results have been achieved, and the accuracies of the top teams are much higher than those achieved in the previous two competitions. In this paper, we introduce the competition including the dataset, experimental settings, competition organization, results from the top teams and their analysis. The methods used by the top teams are also presented in the paper. The progress of this competition can give us an optimistic view on gait recognition.

KeywordsBiometrics; Security; AI; Gait; HID; Human Identification at a Distance
Year2022
ConferenceIJCB 2022: IEEE International Joint Conference on Biometrics
PublisherIEEE
Accepted author manuscript
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File Access Level
Anyone
Publication dates
Online17 Jan 2023
Publication process dates
Deposited05 Dec 2023
Journal citationpp. 1-9
ISSN2474-9699
Book title2022 IEEE International Joint Conference on Biometrics (IJCB)
ISBN9781665463942
FunderWatrix Technology Limited Co. Ltd.
Digital Object Identifier (DOI)https://doi.org/10.1109/IJCB54206.2022.10007993
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10007927/proceeding
Copyright holder© 2023, IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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