VisDrone-VID2019: The vision meets drone object detection in video challenge results

Pengfei Zhu; Dawei Du; Longyin Wen; Xiao Bian; Haibin Ling; Qinghua Hu; Tao Peng; Jiayu Zheng; Xinyao Wang; Yue Zhang; Liefeng Bo; Hailin Shi; Rui Zhu; Bing Dong; Dheeraj Reddy Pailla; Feng Ni; Guangyu Gao; Guizhong Liu; Haitao Xiong; Jing Ge; Jingkai Zhou; Jinrong Hu; Lin Sun; Long Chen; Martin Lauer; Qiong Liu; Sai Saketh Chennamsetty; Ting Sun; Tong Wu; Varghese Alex Kollerathu; Wei Tian; Weida Qin; Xier Chen; Xingjie Zhao; Yanchao Lian; Yinan Wu; Ying Li; Yingping Li; Yiwen Wang; Yuduo Song; Yuehan Yao; Yunfeng Zhang; Zhaoliang Pi; Zhaotang Chen; Zhenyu Xu; Zhibin Xiao; Zhipeng Luo; Ziming Liu

doi:10.1109/ICCVW.2019.00031

VisDrone-VID2019: The vision meets drone object detection in video challenge results

Pengfei Zhu, Dawei Du, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Jing GeJingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

62 Citations (Scopus)

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/.

Original language	English
Title of host publication	Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	227-235
Number of pages	9
ISBN (Electronic)	9781728150239
DOIs	https://doi.org/10.1109/ICCVW.2019.00031
Publication status	Published - Oct 2019
Event	17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 - Seoul, Korea, Republic of Duration: 27 Oct 2019 → 28 Oct 2019

Publication series

Name	Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

Conference

Conference	17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	27/10/19 → 28/10/19

Keywords

Benchmark
Drone
Video detection

Access to Document

10.1109/ICCVW.2019.00031

Cite this

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

Zhu, Pengfei ; Du, Dawei ; Wen, Longyin et al. / VisDrone-VID2019 : The vision meets drone object detection in video challenge results. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 227-235 (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

@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

VisDrone-VID2019: The vision meets drone object detection in video challenge results. / Zhu, Pengfei; Du, Dawei; Wen, Longyin et al.
Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 227-235 9021972 (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 -

Zhu P, Du D, Wen L, Bian X, Ling H, Hu Q et al. VisDrone-VID2019: The vision meets drone object detection in video challenge results. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 227-235. 9021972. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019). doi: 10.1109/ICCVW.2019.00031

VisDrone-VID2019: The vision meets drone object detection in video challenge results

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Keywords

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