The Vision Meets Drone Multiple Object Tracking (MOT) Challenge 2019 is the second annual activity focusing on evaluating multi-object tracking algorithms on drones, held in conjunction with the 17-th International Conference on Computer Vision (ICCV 2019). Results of 12 submitted MOT algorithms on the collected drone-based dataset are presented. Meanwhile, we also report the results of 6 state-of-the-art MOT algorithms, and provide a comprehensive analysis and discussion of the results. The results of all submissions are publicly available at the website: http://www.aiskyeye.com/. The challenge results show that MOT on drones is far from being solved. We believe the challenge can largely boost the research and development in MOT on drone platforms.
@inproceedings{Noor2019:Visdrone_report,
author = "L. Wen and P. Zhu and D. Du and X. Bian and H. Ling and Q. Hu and J. Zheng and T. Peng and X. Wang and Y. Zhang and L. Bo and H. Shi and R. Zhu and A. Jadhav and B. Dong and B. Lall and C. Liu and C. Zhang and D. Wang and F. Ni and F. Bunyak and G. Wang and G. Liu and G. Seetharaman and G. Li and H. Ardo and H. Zhang and H. Yu and H. Lu and J.-N. Hwang and J. Mu and J. Hu and K. Palaniappan and L. Chen and L. Ding and M. Lauer and M. Nilsson and N. M. Al-Shakarji and P. Mukherjee and Q. Huang and R. Laganiere and S. Chen and S. Pan and V. Kaushik and W. Shi and W. Tian and W. Li and X. Chen and X. Zhang and Y. Zhang and Y. Zhao and Y. Wang and Y. Song and Y. Yao and Z. Chen and Z. Xu and Z. Xiao and Z. Tong",
title = "VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results",
year = 2019,
booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)",
pages = "189-198",
keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
doi = "10.1109/ICCVW.2019.00028",
url = "https://openaccess.thecvf.com/content_ICCVW_2019/html/VISDrone/Wen_VisDrone-MOT2019_The_Vision_Meets_Drone_Multiple_Object_Tracking_Challenge_Results_ICCVW_2019_paper.html"
}
L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong. VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pages 189-198, 2019.
