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 KrügerGennaro 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

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

290 Citations (Scopus)

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/.

Original language	English
Title of host publication	Computer Vision – ECCV 2020 Workshops, Proceedings
Editors	Adrien Bartoli, Andrea Fusiello
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	675-691
Number of pages	17
ISBN (Print)	9783030668228
DOIs	https://doi.org/10.1007/978-3-030-66823-5_41
Publication status	Published - 2020
Externally published	Yes
Event	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, United Kingdom Duration: Aug 23 2020 → Aug 28 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12538 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
Country/Territory	United Kingdom
City	Glasgow
Period	8/23/20 → 8/28/20

Keywords

Benchmark
Challenge
Crowd counting
VisDrone

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

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

Cite this

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. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops, Proceedings (pp. 675-691). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12538 LNCS). Springer Science and Business Media Deutschland GmbH. 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 et al.
Computer Vision – ECCV 2020 Workshops, Proceedings. ed. / Adrien Bartoli; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. p. 675-691 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12538 LNCS).

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

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. in A Bartoli & A Fusiello (eds), Computer Vision – ECCV 2020 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12538 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 675-691, Workshops held at the 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 8/23/20. https://doi.org/10.1007/978-3-030-66823-5_41

Du D, Wen L, Zhu P, Fan H, Hu Q, Ling H et al. VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. In Bartoli A, Fusiello A, editors, Computer Vision – ECCV 2020 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 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

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

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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",

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language = "English",

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

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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

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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

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ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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