Human Identification at a Distance: Challenges, Methods and Results on HID 2023

Shiqi Yu1; Chenye Wang2; Yuwei Zhao3; Li Wang4; Ming Wang5; Qing Li6; Wenlong Li7; Runsheng Wang8; Yongzhen Huang9,10; Liang Wang11; Yasushi Makihara12; Md Atiqur Rahman Ahad12

10.1109/IJCB57857.2023.10448952

2023

IEEE International Joint Conference on Biometrics (IJCB)

2474-9680

2023 IEEE INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS, IJCB

SEP 25-28, 2023

null,Ljubljana,SLOVENIA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Human Identification at a Distance (HID) is an important research area due to its importance (especially in biometrics) and inherent challenges within this domain. To mitigate some of the constraints, we have introduced the HID challenge. This paper presents an overview of the 4th International Competition on Human Identification at a Distance (HID 2023), which serves as a benchmark for evaluating various methods in the field of human identification at a distance. We have introduced a new dataset, SUSTech-Competition, engulfing a cross-domain challenge. This dataset has 859 subjects, having various variations of clothing, carrying conditions, occlusions, and view angles. With a substantial participation of 254 registered teams, HID 2023 has attracted considerable attention and yielded highly encouraging results. Notably, the top-performing teams achieved significantly good accuracies. In this paper, we provide an introduction to the competition, encompassing the dataset, experimental settings, and competition organization, as well as an analysis of the results obtained by the top teams. Additionally, we delve into the methodologies employed by these leading teams. The progress demonstrated in this competition offers an optimistic outlook on the advancements in gait recognition, highlighting its potential for robust real applications.

第一

英语

CPCI-S

Computer Science ; Imaging Science & Photographic Technology

Computer Science, Artificial Intelligence ; Imaging Science & Photographic Technology

WOS:001180818700057

Web of Science

1.Southern University of Science and Technology
2.Shandong University
3.Beihang University
4.Dalian Everyspry Sci&Tech
5.Beijing Jiaotong University
6.Harbin Institute of Technology
7.Xidian University
8.Huazhong University of Science and Technology
9.Beijing Normal University
10.Watrix Technology Limited Co. Ltd
11.Institute of Automation, Chinese Academy of Sciences
12.Osaka University
13.University of East London

Shiqi Yu,Chenye Wang,Yuwei Zhao,et al. Human Identification at a Distance: Challenges, Methods and Results on HID 2023[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023.