Hid 2021: Competition on human identification at a distance 2021

Yu，Shiqi1; Huang，Yongzhen2,3; Wang，Liang4; Makihara，Yasushi5; Garcia Reyes，Edel B.6; Zheng，Feng1; Rahman Ahad，Md Atiqur5,7; Lin，Beibei8; Yang，Yuchao9; Xiong，Haijun10; Huang，Binyuan11; Zhang，Yuxuan12

10.1109/IJCB52358.2021.9484377

2021-08-04

2474-9680

978-1-6654-3781-3

2021 IEEE International Joint Conference on Biometrics, IJCB 2021

1-7

4-7 Aug. 2021

Shenzhen, China

The Competition on Human Identification at a Distance 2021 (HID 2021) is to promote the research in human identification at a distance and to provide a benchmark to evaluate different methods. HID 2021 is the second follow-up from the first one, HID 2020. The dataset size and the evaluation protocal are the same with the previous competition, but the data in the test set has been changed. The paper firstly introduces the dataset and the evaluation protocol, then describes the methods from the top teams and their results. The methods show how to achieve state-of-the-art performance on gait recognition. The results in HID 2021 are better than those in HID 2020. From the comparisons and analysis, some useful conclusions can be drawn. We hope more improvements can be achieved by better followup competitions. © 2021 IEEE.

Protocols Conferences Benchmark testing Gait recognition

第一

英语

EI

20213410818347

Biometrics

Bioengineering and Biology:461 ; Mathematical Statistics:922.2

2-s2.0-85113324038

Scopus

1.Southern University of Science and Technology,China
2.Beijing Normal University,China
3.Chinese Academy of Sciences,Institute of Automation,China
4.Osaka University,Japan
5.Shenzhen Institute of Artificial Intelligence and Robotics for Society,China
6.Southern University of Science and Technology,China
7.University of Dhaka,Bangladesh
8.Beijing Jiaotong University,China
9.Sichuan University,China
10.Huazhong University of Science and Technology,China
11.South China Normal University,China
12.South China University of Technology,China

Yu，Shiqi,Huang，Yongzhen,Wang，Liang,et al. Hid 2021: Competition on human identification at a distance 2021[C],2021:1-7.