ML Anthology

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

Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo
ICCVW 2021 pp. 2839-2846
doi:10.1109/ICCVW54120.2021.00318 /iccvw/2021/chen2021iccvw-visdronemot2021/

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/.

ICCVW Semantic Scholar

Cite

Text

Chen et al. "VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00318

Markdown

[Chen et al. "VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/chen2021iccvw-visdronemot2021/) doi:10.1109/ICCVW54120.2021.00318

BibTeX

@inproceedings{chen2021iccvw-visdronemot2021,
  title     = {{VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results}},
  author    = {Chen, Guanlin and Wang, Wenguan and He, Zhijian and Wang, Lujia and Yuan, Yixuan and Zhang, Dingwen and Zhang, Jinglin and Zhu, Pengfei and Van Gool, Luc and Han, Junwei and Hoi, Steven Chu-Hong and Hu, Qinghua and Liu, Ming and Sciarrone, Andrea and Sun, Chao and Garibotto, Chiara and Tran, Duong Nguyen-Ngoc and Lavagetto, Fabio and Haleem, Halar and Motorcu, Hakki and Ates, Hasan F. and Nguyen, Huy-Hung and Jeon, Hyung-Joon and Bisio, Igor and Jeon, Jae Wook and Li, Jiahao and Pham, Long Hoang and Jeon, Moongu and Feng, Qianyu and Li, Shengwen and Tran, Tai Huu-Phuong and Pan, Xiao and Song, Young-Min and Yao, Yuehan and Du, Yunhao and Xu, Zhenyu and Luo, Zhipeng},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2021},
  pages     = {2839-2846},
  doi       = {10.1109/ICCVW54120.2021.00318},
  url       = {https://mlanthology.org/iccvw/2021/chen2021iccvw-visdronemot2021/}
}