Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024
Year: 2024
Type: conference-paper
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.
Authors: Shiqi Yu, Weiming Wu, Jiacong Hu, Zepeng Wang, Jingjie Wang, Meng Zhang, Runsheng Wang, Yunfei Ni, Yongzhen Huang, Liang Wang, Md Atiqur Rahman Ahad
Institutions: Southern University of Science and Technology, South China University of Technology, Shanghai Jiao Tong University, Beijing Jiaotong University, Fujitsu (Japan), Huazhong University of Science and Technology, Beijing Normal University, Chinese Academy of Sciences, Institute of Automation, University of East London
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4404239038