VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
Abstract
Drones equipped with cameras have been fast deployed to a wide range of applications, such as agriculture, aerial photography, fast delivery, and surveillance. As the core steps in those applications, video object detection and tracking attracts much research effort in recent years. However, the current video object detection and tracking algorithms are not usually optimal for dealing with video sequences captured by drones, due to various challenges, such as viewpoint change and scales. To promote and track the development of the detection and tracking algorithms with drones, we organized the Vision Meets Drone Video Detection and Tracking (VisDrone-VDT2018) challenge, which is a subtrack of the Vision Meets Drone 2018 challenge workshop in conjunctiohe 15th European Conference on Computer Vision (ECCV 2018). Specifically, this workshop challenge consists of two tasks, (1) video object detection, and (2) multi-object tracking. We present a large-scale video object detection and tracking dataset, which consists of 79 video clips with about 1.5 million annotated bounding boxes in 33, 366 frames. We also provide rich annotations, including object categories, occlusion, and truncation ratios for better data usage. Being the largest such dataset ever published, the challenge enables extensive evaluation, investigation and tracking the progress of object detection and tracking algorithms on the drone platform. We present the evaluation protocol of the VisDrone-VDT2018 challenge and the results of the algorithms on the benchmark dataset, which are publicly available on the challenge website: http://www.aiskyeye.com/ . We hope the challenge largely boost the research and development in related fields.
Cite
Text
Zhu et al. "VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11021-5_29Markdown
[Zhu et al. "VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/zhu2018eccvw-visdronevdt2018/) doi:10.1007/978-3-030-11021-5_29BibTeX
@inproceedings{zhu2018eccvw-visdronevdt2018,
title = {{VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results}},
author = {Zhu, Pengfei and Wen, Longyin and Du, Dawei and Bian, Xiao and Ling, Haibin and Hu, Qinghua and Wu, Haotian and Nie, Qinqin and Cheng, Hao and Liu, Chenfeng and Liu, Xiaoyu and Ma, Wenya and Wang, Lianjie and Schumann, Arne and Wang, Dan and Ortego, Diego and Luna, Elena and Michail, Emmanouil and Bochinski, Erik and Ni, Feng and Bunyak, Filiz and Zhang, Gege and Seetharaman, Guna and Li, Guorong and Yu, Hongyang and Kompatsiaris, Ioannis and Zhao, Jianfei and Gao, Jie and Martínez, José M. and SanMiguel, Juan C. and Palaniappan, Kannappan and Avgerinakis, Konstantinos and Sommer, Lars Wilko and Lauer, Martin and Liu, Mengkun and Al-Shakarji, Noor M. and Acatay, Oliver and Giannakeris, Panagiotis and Zhao, Qijie and Ma, Qinghua and Huang, Qingming and Vrochidis, Stefanos and Sikora, Thomas and Senst, Tobias and Song, Wei and Tian, Wei and Zhang, Wenhua and Zhao, Yanyun and Bai, Yidong and Wu, Yinan and Wang, Yongtao and Li, Yuxuan and Pi, Zhaoliang and Ma, Zhiming},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {496-518},
doi = {10.1007/978-3-030-11021-5_29},
url = {https://mlanthology.org/eccvw/2018/zhu2018eccvw-visdronevdt2018/}
}