Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024

Human identification at a distance (HID) faces challenges due to the difficulty of acquiring traditional biometric modalities like face and fingerprints. Gait recognition offers a viable solution since it can be captured at a distance. To advance the algorithm development and provide fair evaluations, the International Competition on Human Identification at a Distance (HID) has been held annually since 2020, with HID 2024 marking the fifth edition. Despite increased difficulty, participants demonstrated remarkable capabilities, surpassing previous accuracy levels. This paper, co-authored by competition organizers and top participants, provides a comprehensive summary of HID 2024, including an overview of the competition, and insights into the methods employed by the top teams. Specifically, inspired by the achievements of the 5 competitions of HID, we also provide the insights for the future directions on gait recognition.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/ijcb62174.2024.10744507
Citations
1
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.78
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article

Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024

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1 citations
User Authentication and Security Systems
0.78
article

Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024

Yongzhen Huang, Shiqi Yu, Md Atiqur Rahman Ahad, Jiacong Hu, Runsheng Wang, Meng Zhang, Jingjie Wang, Zepeng Wang, Y.Q. Ni, Weiming Wu, Liang Wang
article en
1 citations

Abstract

Human identification at a distance (HID) faces challenges due to the difficulty of acquiring traditional biometric modalities like face and fingerprints. Gait recognition offers a viable solution since it can be captured at a distance. To advance the algorithm development and provide fair evaluations, the International Competition on Human Identification at a Distance (HID) has been held annually since 2020, with HID 2024 marking the fifth edition. Despite increased difficulty, participants demonstrated remarkable capabilities, surpassing previous accuracy levels. This paper, co-authored by competition organizers and top participants, provides a comprehensive summary of HID 2024, including an overview of the competition, and insights into the methods employed by the top teams. Specifically, inspired by the achievements of the 5 competitions of HID, we also provide the insights for the future directions on gait recognition.

University of East London (GB), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Beijing Jiaotong University (CN), Fujitsu (Japan) (JP), Beijing Normal University (CN), Southern University of Science and Technology (CN), Institute of Automation (CN), Huazhong University of Science and Technology (CN), South China University of Technology (CN)
Openalex Percentile: Top 19%
User Authentication and Security Systems
0.78
DOIOpen Access PDFOpenAlex
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