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

Human Identification at a Distance (HID) is an impor- tant research area due to its importance (especially in bio- metrics) 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 identifi- cation 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 pa- per, we provide an introduction to the competition, encom- passing 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 methodolo- gies employed by these leading teams. The progress demon- strated in this competition offers an optimistic outlook on the advancements in gait recognition, highlighting its po- tential for robust real applications.