VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results


Chen G., Wang W., He Z., Wang L., Yuan Y., Zhang D., ...More

18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Virtual, Online, Canada, 11 - 17 October 2021, vol.2021-October, pp.2839-2846, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2021-October
  • Doi Number: 10.1109/iccvw54120.2021.00318
  • City: Virtual, Online
  • Country: Canada
  • Page Numbers: pp.2839-2846
  • Keywords: VisDrone, multi-object tracking, drone, challenge, benchmark
  • Istanbul Medipol University Affiliated: Yes

Abstract

Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It is held in conjunction with ICCV 2021. VisDrone-MOT2021 contains 96 video sequences in total, including 56 sequences (~24K frames) for training, 7 sequences (~3K frames) for validation and 33 sequences (~13K frames) for testing. Bounding-box annotations for novel object categories are provided every frame and temporally consistent instance IDs are also given. Additionally, occlusion ratio and truncation ratio are provided as extra useful annotations. The results of eight state-of-the-art MOT algorithms are reported and discussed. We hope that our VisDrone-MOT2021 challenge will facilitate future research and applications in the field of UAV vision. The website of our challenge can be found at http://www.aiskyeye.com/.