VReID-XFD: Video-based Human Recognition at Extreme Far Distances

Most existing benchmarks on UAV-based human recognition assume only moderate distances between cameras and subjects and short time-lapses between consecutive observations of subjects, enabling clothing-based cues o be used in recognition. This workshop, and its associated competition, aims at exactly opposite scenarios: extreme far distances, with resolution limited to few pixels, severe variations in pose, clothing changes, and strong environmental shifts.To address these factors, we will use the recently created DetReIDX dataset (https://www.it.ubi.pt/DetReIDX/) as anchor of the workshop. It is the first large-scale video-based benchmark for UAV-based person recognition at altitudes of up to 120 meters, and different pitch angles. It also includes daylight variations, clothing changes, and supports multiple tasks: detection, tracking and human re-identification.