VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling,, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong,, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro, Castiello, Corrado Mencar, Dingkang Liang, Florian Kr\"uger

TL;DR
This paper introduces a large-scale drone crowd counting dataset and organizes a challenge to evaluate algorithms, addressing the lack of data and advancing research in drone-based crowd analysis.
Contribution
It provides a new comprehensive dataset and benchmark for drone crowd counting, fostering development of algorithms tailored for drone-captured data.
Findings
14 algorithms evaluated on the dataset
Detailed analysis of algorithm performance
Benchmark results published for future research
Abstract
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing on crowd counting on the drone-captured data due to the lack of comprehensive datasets. To this end, we collect a large-scale dataset and organize the Vision Meets Drone Crowd Counting Challenge (VisDrone-CC2020) in conjunction with the 16th European Conference on Computer Vision (ECCV 2020) to promote the developments in the related fields. The collected dataset is formed by images, including images for training, and images for testing. Specifically, we manually annotate persons with points in each video frame. There are algorithms from institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVideo Surveillance and Tracking Methods · Advanced Neural Network Applications · Anomaly Detection Techniques and Applications
