DroneCrowd is a new large-scale dataset captured by drones that can be used to solve density map estimation, localization, and tracking tasks in crowded scenes captured by drones. The dataset consists of 112 video clips and 33,600 high-definition frames. Notably, the dataset annotates the trajectories of 20,800 people with 4.8 million heads and several video-level attributes.

Citation

@inproceedings{dronecrowd_cvpr2021,
author    = {Longyin Wen and
Dawei Du and
Pengfei Zhu and
Qinghua Hu and
Qilong Wang and
Liefeng Bo and
Siwei Lyu},
title     = {Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark},
booktitle = {CVPR},
year      = {2021}
}