VisDrone-SOT2019: The vision meets drone single object tracking challenge results

Dawei Du; Pengfei Zhu; Longyin Wen; Xiao Bian; Haibin Ling; Qinghua Hu; Jiayu Zheng; Tao Peng; Xinyao Wang; Yue Zhang; Liefeng Bo; Hailin Shi; Rui Zhu; Bo Han; Chunhui Zhang; Guizhong Liu; Han Wu; Hao Wen; Haoran Wang; Jiaqing Fan; Jie Chen; Jie Gao; Jie Zhang; Jinghao Zhou; Jinliu Zhou; Jinwang Wang; Jiuqing Wan; Josef Kittler; Kaihua Zhang; Kaiqi Huang; Kang Yang; Kangkai Zhang; Lianghua Huang; Lijun Zhou; Lingling Shi; Lu DIng; Ning Wang; Peng Wang; Qintao Hu; Robert Laganière; Ruiyan Ma; Ruohan Zhang; Shanrong Zou; Shengwei Zhao; Shengyang Li; Shengyin Zhu; Shikun Li; Shiming Ge; Shiyu Xuan; Tianyang Xu; Ting He; Wei Shi; Wei Song; Weiming Hu; Wenhua Zhang; Wenjun Zhu; Xi Yu; Xianhai Wang; Xiaojun Wu; Xiaotong Li; Xiaoxue Li; Xiaoyue Yin; Xin Zhang; Xin Zhao; Xizhe Xue; Xu Lei; Xueyuan Yang; Yanjie Gao; Yanyun Zhao; Yinda Xu; Ying Li; Yong Wang; Yong Yang; Yuting Yang; Yuxuan Li; Zeyu Wang; Zhenhua Feng; Zhipeng Zhang; Zhiyong Yu; Zhizhao Duan; Zhuojin Sun

doi:10.1109/ICCVW.2019.00029

VisDrone-SOT2019: The vision meets drone single object tracking challenge results

Dawei Du
, Pengfei Zhu
, Longyin Wen
, Xiao Bian
, Haibin Ling
, Qinghua Hu
, Jiayu Zheng
, Tao Peng
, Xinyao Wang
, Yue Zhang
, Liefeng Bo
, Hailin Shi
, Rui Zhu
, Bo Han
, Chunhui Zhang
, Guizhong Liu
, Han Wu
, Hao Wen
, Haoran Wang
, Jiaqing Fan

Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu DIng, Ning Wang, Peng Wang, Qintao Hu, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Zhizhao Duan, Zhuojin Sun

School of Automation Science and Electrical Engineering

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

68 Scopus citations

Abstract

The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision (ICCV 2019). The VisDrone-SOT2019 Challenge goes beyond its VisDrone-SOT2018 predecessor by introducing 25 more challenging sequences for long-term tracking. We evaluate and discuss the results of 22 participating algorithms and 19 state-of-the-art trackers on the collected dataset. The challenge results are publicly available at the website: http://www.aiskyeye.com/. WeexpecttheVisDrone-SOTchallenge to boost the research in single object tracking field.

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	199-212
Number of pages	14
ISBN (Electronic)	9781728150239
DOIs	https://doi.org/10.1109/ICCVW.2019.00029
State	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
Single object tracking

Access to Document

10.1109/ICCVW.2019.00029

Cite this

Du, D., Zhu, P., Wen, L., Bian, X., Ling, H., Hu, Q., Zheng, J., Peng, T., Wang, X., Zhang, Y., Bo, L., Shi, H., Zhu, R., Han, B., Zhang, C., Liu, G., Wu, H., Wen, H., Wang, H., ... Sun, Z. (2019). VisDrone-SOT2019: The vision meets drone single object tracking challenge results. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 199-212). Article 9022632 (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2019.00029

Du, Dawei ; Zhu, Pengfei ; Wen, Longyin et al. / VisDrone-SOT2019 : The vision meets drone single object tracking challenge results. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 199-212 (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

@inproceedings{0b77dee9d4a44d4797e7caee724f5192,

title = "VisDrone-SOT2019: The vision meets drone single object tracking challenge results",

abstract = "The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision (ICCV 2019). The VisDrone-SOT2019 Challenge goes beyond its VisDrone-SOT2018 predecessor by introducing 25 more challenging sequences for long-term tracking. We evaluate and discuss the results of 22 participating algorithms and 19 state-of-the-art trackers on the collected dataset. The challenge results are publicly available at the website: http://www.aiskyeye.com/. WeexpecttheVisDrone-SOTchallenge to boost the research in single object tracking field.",

keywords = "Benchmark, Drone, Single object tracking",

author = "Dawei Du and Pengfei Zhu and Longyin Wen and Xiao Bian and Haibin Ling and Qinghua Hu and Jiayu Zheng and Tao Peng and Xinyao Wang and Yue Zhang and Liefeng Bo and Hailin Shi and Rui Zhu and Bo Han and Chunhui Zhang and Guizhong Liu and Han Wu and Hao Wen and Haoran Wang and Jiaqing Fan and Jie Chen and Jie Gao and Jie Zhang and Jinghao Zhou and Jinliu Zhou and Jinwang Wang and Jiuqing Wan and Josef Kittler and Kaihua Zhang and Kaiqi Huang and Kang Yang and Kangkai Zhang and Lianghua Huang and Lijun Zhou and Lingling Shi and Lu DIng and Ning Wang and Peng Wang and Qintao Hu and Robert Lagani{\`e}re and Ruiyan Ma and Ruohan Zhang and Shanrong Zou and Shengwei Zhao and Shengyang Li and Shengyin Zhu and Shikun Li and Shiming Ge and Shiyu Xuan and Tianyang Xu and Ting He and Wei Shi and Wei Song and Weiming Hu and Wenhua Zhang and Wenjun Zhu and Xi Yu and Xianhai Wang and Xiaojun Wu and Xiaotong Li and Xiaoxue Li and Xiaoyue Yin and Xin Zhang and Xin Zhao and Xizhe Xue and Xu Lei and Xueyuan Yang and Yanjie Gao and Yanyun Zhao and Yinda Xu and Ying Li and Yong Wang and Yong Yang and Yuting Yang and Yuxuan Li and Zeyu Wang and Zhenhua Feng and Zhipeng Zhang and Zhiyong Yu and Zhizhao Duan and Zhuojin Sun",

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.2019.00029",

language = "英语",

series = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "199--212",

booktitle = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",

address = "美国",

}

Du, D, Zhu, P, Wen, L, Bian, X, Ling, H, Hu, Q, Zheng, J, Peng, T, Wang, X, Zhang, Y, Bo, L, Shi, H, Zhu, R, Han, B, Zhang, C, Liu, G, Wu, H, Wen, H, Wang, H, Fan, J, Chen, J, Gao, J, Zhang, J, Zhou, J, Zhou, J, Wang, J, Wan, J, Kittler, J, Zhang, K, Huang, K, Yang, K, Zhang, K, Huang, L, Zhou, L, Shi, L, DIng, L, Wang, N, Wang, P, Hu, Q, Laganière, R, Ma, R, Zhang, R, Zou, S, Zhao, S, Li, S, Zhu, S, Li, S, Ge, S, Xuan, S, Xu, T, He, T, Shi, W, Song, W, Hu, W, Zhang, W, Zhu, W, Yu, X, Wang, X, Wu, X, Li, X, Li, X, Yin, X, Zhang, X, Zhao, X, Xue, X, Lei, X, Yang, X, Gao, Y, Zhao, Y, Xu, Y, Li, Y, Wang, Y, Yang, Y, Yang, Y, Li, Y, Wang, Z, Feng, Z, Zhang, Z, Yu, Z, Duan, Z & Sun, Z 2019, VisDrone-SOT2019: The vision meets drone single object tracking challenge results. in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019., 9022632, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, Institute of Electrical and Electronics Engineers Inc., pp. 199-212, 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019, Seoul, Korea, Republic of, 27/10/19. https://doi.org/10.1109/ICCVW.2019.00029

VisDrone-SOT2019: The vision meets drone single object tracking challenge results. / Du, Dawei; Zhu, Pengfei; Wen, Longyin et al.
Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 199-212 9022632 (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-SOT2019

T2 - 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019

AU - Du, Dawei

AU - Zhu, Pengfei

AU - Wen, Longyin

AU - Bian, Xiao

AU - Ling, Haibin

AU - Hu, Qinghua

AU - Zheng, Jiayu

AU - Peng, Tao

AU - Wang, Xinyao

AU - Zhang, Yue

AU - Bo, Liefeng

AU - Shi, Hailin

AU - Zhu, Rui

AU - Han, Bo

AU - Zhang, Chunhui

AU - Liu, Guizhong

AU - Wu, Han

AU - Wen, Hao

AU - Wang, Haoran

AU - Fan, Jiaqing

AU - Chen, Jie

AU - Gao, Jie

AU - Zhang, Jie

AU - Zhou, Jinghao

AU - Zhou, Jinliu

AU - Wang, Jinwang

AU - Wan, Jiuqing

AU - Kittler, Josef

AU - Zhang, Kaihua

AU - Huang, Kaiqi

AU - Yang, Kang

AU - Zhang, Kangkai

AU - Huang, Lianghua

AU - Zhou, Lijun

AU - Shi, Lingling

AU - DIng, Lu

AU - Wang, Ning

AU - Wang, Peng

AU - Hu, Qintao

AU - Laganière, Robert

AU - Ma, Ruiyan

AU - Zhang, Ruohan

AU - Zou, Shanrong

AU - Zhao, Shengwei

AU - Li, Shengyang

AU - Zhu, Shengyin

AU - Li, Shikun

AU - Ge, Shiming

AU - Xuan, Shiyu

AU - Xu, Tianyang

AU - He, Ting

AU - Shi, Wei

AU - Song, Wei

AU - Hu, Weiming

AU - Zhang, Wenhua

AU - Zhu, Wenjun

AU - Yu, Xi

AU - Wang, Xianhai

AU - Wu, Xiaojun

AU - Li, Xiaotong

AU - Li, Xiaoxue

AU - Yin, Xiaoyue

AU - Zhang, Xin

AU - Zhao, Xin

AU - Xue, Xizhe

AU - Lei, Xu

AU - Yang, Xueyuan

AU - Gao, Yanjie

AU - Zhao, Yanyun

AU - Xu, Yinda

AU - Li, Ying

AU - Wang, Yong

AU - Yang, Yong

AU - Yang, Yuting

AU - Li, Yuxuan

AU - Wang, Zeyu

AU - Feng, Zhenhua

AU - Zhang, Zhipeng

AU - Yu, Zhiyong

AU - Duan, Zhizhao

AU - Sun, Zhuojin

PY - 2019/10

Y1 - 2019/10

N2 - The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision (ICCV 2019). The VisDrone-SOT2019 Challenge goes beyond its VisDrone-SOT2018 predecessor by introducing 25 more challenging sequences for long-term tracking. We evaluate and discuss the results of 22 participating algorithms and 19 state-of-the-art trackers on the collected dataset. The challenge results are publicly available at the website: http://www.aiskyeye.com/. WeexpecttheVisDrone-SOTchallenge to boost the research in single object tracking field.

AB - The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision (ICCV 2019). The VisDrone-SOT2019 Challenge goes beyond its VisDrone-SOT2018 predecessor by introducing 25 more challenging sequences for long-term tracking. We evaluate and discuss the results of 22 participating algorithms and 19 state-of-the-art trackers on the collected dataset. The challenge results are publicly available at the website: http://www.aiskyeye.com/. WeexpecttheVisDrone-SOTchallenge to boost the research in single object tracking field.

KW - Benchmark

KW - Drone

KW - Single object tracking

UR - https://www.scopus.com/pages/publications/85082495614

U2 - 10.1109/ICCVW.2019.00029

DO - 10.1109/ICCVW.2019.00029

M3 - 会议稿件

AN - SCOPUS:85082495614

T3 - Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

SP - 199

EP - 212

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 -

Du D, Zhu P, Wen L, Bian X, Ling H, Hu Q et al. VisDrone-SOT2019: The vision meets drone single object tracking challenge results. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 199-212. 9022632. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019). doi: 10.1109/ICCVW.2019.00029

VisDrone-SOT2019: The vision meets drone single object tracking challenge results

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Keywords

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