VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du; Longyin Wen; Pengfei Zhu; Heng Fan; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Ali Al-Ali; Amr Mohamed; Bakour Imene; Bin Dong; Binyu Zhang; Bouchali Hadia Nesma; Chenfeng Xu; Chenzhen Duan; Ciro Castiello; Corrado Mencar; Dingkang Liang; Florian Krüger; Gennaro Vessio; Giovanna Castellano; Jieru Wang; Junyu Gao; Khalid Abualsaud; Laihui Ding; Lei Zhao; Marco Cianciotta; Muhammad Saqib; Noor Almaadeed; Omar Elharrouss; Pei Lyu; Qi Wang; Shidong Liu; Shuang Qiu; Siyang Pan; Somaya Al-Maadeed; Sultan Daud Khan; Tamer Khattab; Tao Han; Thomas Golda; Wei Xu; Xiang Bai; Xiaoqing Xu; Xuelong Li; Yanyun Zhao; Ye Tian; Yingnan Lin; Yongchao Xu; Yuehan Yao; Zhenyu Xu; Zhijian Zhao; Zhipeng Luo; Zhiwei Wei; Zhiyuan Zhao

doi:10.1007/978-3-030-66823-5_41

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du
, Longyin Wen
, Pengfei Zhu
, Heng Fan
, Qinghua Hu
, Haibin Ling
, Mubarak Shah
, Junwen Pan
, Ali Al-Ali
, Amr Mohamed
, Bakour Imene
, Bin Dong
, Binyu Zhang
, Bouchali Hadia Nesma
, Chenfeng Xu
, Chenzhen Duan
, Ciro Castiello
, Corrado Mencar
, Dingkang Liang
, Florian Krüger

Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Maadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao

光电与智能研究院

Kitware, Inc
JD Finance America Corporation
Tianjin University
Stony Brook University
University of Central Florida
Supreme Committee for Delivery and Legacy
Qatar University
University of Science and Technology Houari Boumediene
Ltd
Beijing University of Posts and Telecommunications
Huazhong University of Science and Technology
Harbin University of Technology
University of Bari
Karlsruhe Institute of Technology
UNISOC (Shanghai) Technologies Co. Ltd
Ocean University of China
University of Technology Sydney
Supremind
National University of Technology
Northwestern Polytechnical University Xian
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

297 引用（Scopus）

摘要

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing on crowd counting on the drone-captured data due to the lack of comprehensive datasets. To this end, we collect a large-scale dataset and organize the Vision Meets Drone Crowd Counting Challenge (VisDrone-CC2020) in conjunction with the 16th European Conference on Computer Vision (ECCV 2020) to promote the developments in the related fields. The collected dataset is formed by 3, 360 images, including 2, 460 images for training, and 900 images for testing. Specifically, we manually annotate persons with points in each video frame. There are 14 algorithms from 15 institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results and conclude the challenge. More information can be found at the website: http://www.aiskyeye.com/.

源语言	英语
主期刊名	Computer Vision – ECCV 2020 Workshops, Proceedings
编辑	Adrien Bartoli, Andrea Fusiello
出版商	Springer Science and Business Media Deutschland GmbH
页	675-691
页数	17
ISBN（印刷版）	9783030668228
DOI	https://doi.org/10.1007/978-3-030-66823-5_41
出版状态	已出版 - 2020
活动	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, 英国期限: 23 8月 2020 → 28 8月 2020

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	12538 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
国家/地区	英国
市	Glasgow
时期	23/08/20 → 28/08/20

访问文件

10.1007/978-3-030-66823-5_41

其它文件与链接

链接到 Scopus 的出版物

引用此

Du, D., Wen, L., Zhu, P., Fan, H., Hu, Q., Ling, H., Shah, M., Pan, J., Al-Ali, A., Mohamed, A., Imene, B., Dong, B., Zhang, B., Nesma, B. H., Xu, C., Duan, C., Castiello, C., Mencar, C., Liang, D., ... Zhao, Z. (2020). VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. 在 A. Bartoli, & A. Fusiello (编辑), Computer Vision – ECCV 2020 Workshops, Proceedings (页码 675-691). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12538 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66823-5_41

Du, Dawei ; Wen, Longyin ; Zhu, Pengfei 等. / VisDrone-CC2020 : The Vision Meets Drone Crowd Counting Challenge Results. Computer Vision – ECCV 2020 Workshops, Proceedings. 编辑 / Adrien Bartoli ; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. 页码 675-691 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8b4a425573ef452f8924fdf4ee4f5539,

title = "VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results",

abstract = "Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing on crowd counting on the drone-captured data due to the lack of comprehensive datasets. To this end, we collect a large-scale dataset and organize the Vision Meets Drone Crowd Counting Challenge (VisDrone-CC2020) in conjunction with the 16th European Conference on Computer Vision (ECCV 2020) to promote the developments in the related fields. The collected dataset is formed by 3, 360 images, including 2, 460 images for training, and 900 images for testing. Specifically, we manually annotate persons with points in each video frame. There are 14 algorithms from 15 institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results and conclude the challenge. More information can be found at the website: http://www.aiskyeye.com/.",

keywords = "Benchmark, Challenge, Crowd counting, VisDrone",

author = "Dawei Du and Longyin Wen and Pengfei Zhu and Heng Fan and Qinghua Hu and Haibin Ling and Mubarak Shah and Junwen Pan and Ali Al-Ali and Amr Mohamed and Bakour Imene and Bin Dong and Binyu Zhang and Nesma, \{Bouchali Hadia\} and Chenfeng Xu and Chenzhen Duan and Ciro Castiello and Corrado Mencar and Dingkang Liang and Florian Kr{\"u}ger and Gennaro Vessio and Giovanna Castellano and Jieru Wang and Junyu Gao and Khalid Abualsaud and Laihui Ding and Lei Zhao and Marco Cianciotta and Muhammad Saqib and Noor Almaadeed and Omar Elharrouss and Pei Lyu and Qi Wang and Shidong Liu and Shuang Qiu and Siyang Pan and Somaya Al-Maadeed and Khan, \{Sultan Daud\} and Tamer Khattab and Tao Han and Thomas Golda and Wei Xu and Xiang Bai and Xiaoqing Xu and Xuelong Li and Yanyun Zhao and Ye Tian and Yingnan Lin and Yongchao Xu and Yuehan Yao and Zhenyu Xu and Zhijian Zhao and Zhipeng Luo and Zhiwei Wei and Zhiyuan Zhao",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",

year = "2020",

doi = "10.1007/978-3-030-66823-5\_41",

language = "英语",

isbn = "9783030668228",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "675--691",

editor = "Adrien Bartoli and Andrea Fusiello",

booktitle = "Computer Vision – ECCV 2020 Workshops, Proceedings",

}

Du, D, Wen, L, Zhu, P, Fan, H, Hu, Q, Ling, H, Shah, M, Pan, J, Al-Ali, A, Mohamed, A, Imene, B, Dong, B, Zhang, B, Nesma, BH, Xu, C, Duan, C, Castiello, C, Mencar, C, Liang, D, Krüger, F, Vessio, G, Castellano, G, Wang, J, Gao, J, Abualsaud, K, Ding, L, Zhao, L, Cianciotta, M, Saqib, M, Almaadeed, N, Elharrouss, O, Lyu, P, Wang, Q, Liu, S, Qiu, S, Pan, S, Al-Maadeed, S, Khan, SD, Khattab, T, Han, T, Golda, T, Xu, W, Bai, X, Xu, X, Li, X, Zhao, Y, Tian, Y, Lin, Y, Xu, Y, Yao, Y, Xu, Z, Zhao, Z, Luo, Z, Wei, Z & Zhao, Z 2020, VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. 在 A Bartoli & A Fusiello (编辑), Computer Vision – ECCV 2020 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 12538 LNCS, Springer Science and Business Media Deutschland GmbH, 页码 675-691, Workshops held at the 16th European Conference on Computer Vision, ECCV 2020, Glasgow, 英国, 23/08/20. https://doi.org/10.1007/978-3-030-66823-5_41

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. / Du, Dawei; Wen, Longyin; Zhu, Pengfei 等.
Computer Vision – ECCV 2020 Workshops, Proceedings. 编辑 / Adrien Bartoli; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. 页码 675-691 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12538 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - VisDrone-CC2020

T2 - Workshops held at the 16th European Conference on Computer Vision, ECCV 2020

AU - Du, Dawei

AU - Wen, Longyin

AU - Zhu, Pengfei

AU - Fan, Heng

AU - Hu, Qinghua

AU - Ling, Haibin

AU - Shah, Mubarak

AU - Pan, Junwen

AU - Al-Ali, Ali

AU - Mohamed, Amr

AU - Imene, Bakour

AU - Dong, Bin

AU - Zhang, Binyu

AU - Nesma, Bouchali Hadia

AU - Xu, Chenfeng

AU - Duan, Chenzhen

AU - Castiello, Ciro

AU - Mencar, Corrado

AU - Liang, Dingkang

AU - Krüger, Florian

AU - Vessio, Gennaro

AU - Castellano, Giovanna

AU - Wang, Jieru

AU - Gao, Junyu

AU - Abualsaud, Khalid

AU - Ding, Laihui

AU - Zhao, Lei

AU - Cianciotta, Marco

AU - Saqib, Muhammad

AU - Almaadeed, Noor

AU - Elharrouss, Omar

AU - Lyu, Pei

AU - Wang, Qi

AU - Liu, Shidong

AU - Qiu, Shuang

AU - Pan, Siyang

AU - Al-Maadeed, Somaya

AU - Khan, Sultan Daud

AU - Khattab, Tamer

AU - Han, Tao

AU - Golda, Thomas

AU - Xu, Wei

AU - Bai, Xiang

AU - Xu, Xiaoqing

AU - Li, Xuelong

AU - Zhao, Yanyun

AU - Tian, Ye

AU - Lin, Yingnan

AU - Xu, Yongchao

AU - Yao, Yuehan

AU - Xu, Zhenyu

AU - Zhao, Zhijian

AU - Luo, Zhipeng

AU - Wei, Zhiwei

AU - Zhao, Zhiyuan

PY - 2020

Y1 - 2020

N2 - Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing on crowd counting on the drone-captured data due to the lack of comprehensive datasets. To this end, we collect a large-scale dataset and organize the Vision Meets Drone Crowd Counting Challenge (VisDrone-CC2020) in conjunction with the 16th European Conference on Computer Vision (ECCV 2020) to promote the developments in the related fields. The collected dataset is formed by 3, 360 images, including 2, 460 images for training, and 900 images for testing. Specifically, we manually annotate persons with points in each video frame. There are 14 algorithms from 15 institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results and conclude the challenge. More information can be found at the website: http://www.aiskyeye.com/.

AB - Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing on crowd counting on the drone-captured data due to the lack of comprehensive datasets. To this end, we collect a large-scale dataset and organize the Vision Meets Drone Crowd Counting Challenge (VisDrone-CC2020) in conjunction with the 16th European Conference on Computer Vision (ECCV 2020) to promote the developments in the related fields. The collected dataset is formed by 3, 360 images, including 2, 460 images for training, and 900 images for testing. Specifically, we manually annotate persons with points in each video frame. There are 14 algorithms from 15 institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results and conclude the challenge. More information can be found at the website: http://www.aiskyeye.com/.

KW - Benchmark

KW - Challenge

KW - Crowd counting

KW - VisDrone

UR - https://www.scopus.com/pages/publications/85101779993

U2 - 10.1007/978-3-030-66823-5_41

DO - 10.1007/978-3-030-66823-5_41

M3 - 会议稿件

AN - SCOPUS:85101779993

SN - 9783030668228

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 675

EP - 691

BT - Computer Vision – ECCV 2020 Workshops, Proceedings

A2 - Bartoli, Adrien

A2 - Fusiello, Andrea

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 23 August 2020 through 28 August 2020

ER -

Du D, Wen L, Zhu P, Fan H, Hu Q, Ling H 等. VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. 在 Bartoli A, Fusiello A, 编辑, Computer Vision – ECCV 2020 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. 页码 675-691. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-66823-5_41

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

摘要

出版系列

会议

访问文件

其它文件与链接

学术指纹

引用此