VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results

Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specifically, there are 13 teams participating the challenge....

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Bibliographic Details
Main Authors: Zhu, Pengfei, Du, Dawei, Wen, Longyin, Bian, Xiao, Ling, Haibin, Hu, Qinghua, Peng, Tao, Zheng, Jiayu, Wang, Xinyao, Zhang, Yue, Bo, Liefeng, Shi, Hailin, Zhu, Rui, Dong, Bing, Pailla, Dheeraj Reddy, Ni, Feng, Gao, Guangyu, Liu, Guizhong, Xiong, Haitao, Ge, Jing, Zhou, Jingkai, Hu, Jinrong, Sun, Lin, Chen, Long, Lauer, Martin, Liu, Qiong, Chennamsetty, Sai Saketh, Sun, Ting, Wu, Tong, Kollerathu, Varghese Alex, Tian, Wei, Qin, Weida, Chen, Xier, Zhao, Xingjie, Lian, Yanchao, Wu, Yinan, Li, Ying, Li, Yingping, Wang, Yiwen, Song, Yuduo, Yao, Yuehan, Zhang, Yunfeng, Pi, Zhaoliang, Chen, Zhaotang, Xu, Zhenyu, Xiao, Zhibin, Luo, Zhipeng, Liu, Ziming
Format: Conference Proceeding
Language:English
Subjects:
benchmark
Bicycles
Computer vision
Detectors
drone
Drones
Object detection
Proposals
Training
Video detection
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Summary:Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specifically, there are 13 teams participating the challenge. We also report the results of 6 state-of-the-art detectors on the collected dataset. A short description is provided in the appendix for each participating detector. We present the analysis and discussion of the challenge results. Both the dataset and the challenge results are publicly available at the challenge website: http://www.aiskyeye.com/.
ISSN:2473-9944
DOI:10.1109/ICCVW.2019.00031