Zhu, P., Du, D., Wen, L., Bian, X., Ling, H., Hu, Q., Peng, T., Zheng, J., Wang, X., Zhang, Y., Bo, L., Shi, H., Zhu, R., Dong, B., Pailla, D. R., Ni, F., Gao, G., Liu, G., Xiong, H., ... Liu, Z. (2019). VisDrone-VID2019: The vision meets drone object detection in video challenge results. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 227-235). Article 9021972 (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2019.00031
@inproceedings{e1e9ef5eda624d2aae5f81ae63f30688,
title = "VisDrone-VID2019: The vision meets drone object detection in video challenge results",
abstract = "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/.",
keywords = "Benchmark, Drone, Video detection",
author = "Pengfei Zhu and Dawei Du and Longyin Wen and Xiao Bian and Haibin Ling and Qinghua Hu and Tao Peng and Jiayu Zheng and Xinyao Wang and Yue Zhang and Liefeng Bo and Hailin Shi and Rui Zhu and Bing Dong and Pailla, {Dheeraj Reddy} and Feng Ni and Guangyu Gao and Guizhong Liu and Haitao Xiong and Jing Ge and Jingkai Zhou and Jinrong Hu and Lin Sun and Long Chen and Martin Lauer and Qiong Liu and Chennamsetty, {Sai Saketh} and Ting Sun and Tong Wu and Kollerathu, {Varghese Alex} and Wei Tian and Weida Qin and Xier Chen and Xingjie Zhao and Yanchao Lian and Yinan Wu and Ying Li and Yingping Li and Yiwen Wang and Yuduo Song and Yuehan Yao and Yunfeng Zhang and Zhaoliang Pi and Zhaotang Chen and Zhenyu Xu and Zhibin Xiao and Zhipeng Luo and Ziming Liu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 ; Conference date: 27-10-2019 Through 28-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICCVW.2019.00031",
language = "English",
series = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "227--235",
booktitle = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",
address = "United States",
}
Zhu, P, Du, D, Wen, L, Bian, X, Ling, H, Hu, Q, Peng, T, Zheng, J, Wang, X, Zhang, Y, Bo, L, Shi, H, Zhu, R, Dong, B, Pailla, DR, Ni, F, Gao, G, Liu, G, Xiong, H, Ge, J, Zhou, J, Hu, J, Sun, L, Chen, L, Lauer, M, Liu, Q, Chennamsetty, SS, Sun, T, Wu, T, Kollerathu, VA, Tian, W, Qin, W, Chen, X, Zhao, X, Lian, Y, Wu, Y, Li, Y, Li, Y, Wang, Y, Song, Y, Yao, Y, Zhang, Y, Pi, Z, Chen, Z, Xu, Z, Xiao, Z, Luo, Z & Liu, Z 2019, VisDrone-VID2019: The vision meets drone object detection in video challenge results. in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019., 9021972, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, Institute of Electrical and Electronics Engineers Inc., pp. 227-235, 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019, Seoul, Korea, Republic of, 27/10/19. https://doi.org/10.1109/ICCVW.2019.00031
TY - GEN
T1 - VisDrone-VID2019
T2 - 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019
AU - Zhu, Pengfei
AU - Du, Dawei
AU - Wen, Longyin
AU - Bian, Xiao
AU - Ling, Haibin
AU - Hu, Qinghua
AU - Peng, Tao
AU - Zheng, Jiayu
AU - Wang, Xinyao
AU - Zhang, Yue
AU - Bo, Liefeng
AU - Shi, Hailin
AU - Zhu, Rui
AU - Dong, Bing
AU - Pailla, Dheeraj Reddy
AU - Ni, Feng
AU - Gao, Guangyu
AU - Liu, Guizhong
AU - Xiong, Haitao
AU - Ge, Jing
AU - Zhou, Jingkai
AU - Hu, Jinrong
AU - Sun, Lin
AU - Chen, Long
AU - Lauer, Martin
AU - Liu, Qiong
AU - Chennamsetty, Sai Saketh
AU - Sun, Ting
AU - Wu, Tong
AU - Kollerathu, Varghese Alex
AU - Tian, Wei
AU - Qin, Weida
AU - Chen, Xier
AU - Zhao, Xingjie
AU - Lian, Yanchao
AU - Wu, Yinan
AU - Li, Ying
AU - Li, Yingping
AU - Wang, Yiwen
AU - Song, Yuduo
AU - Yao, Yuehan
AU - Zhang, Yunfeng
AU - Pi, Zhaoliang
AU - Chen, Zhaotang
AU - Xu, Zhenyu
AU - Xiao, Zhibin
AU - Luo, Zhipeng
AU - Liu, Ziming
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - 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/.
AB - 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/.
KW - Benchmark
KW - Drone
KW - Video detection
UR - http://www.scopus.com/inward/record.url?scp=85082467926&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2019.00031
DO - 10.1109/ICCVW.2019.00031
M3 - Conference contribution
AN - SCOPUS:85082467926
T3 - Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
SP - 227
EP - 235
BT - Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 October 2019 through 28 October 2019
ER -