Author:
Wen, Longyin
(Wen, Longyin.)
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Zhu, Pengfei
(Zhu, Pengfei.)
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Du, Dawei
(Du, Dawei.)
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Bian, Xiao
(Bian, Xiao.)
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Ling, Haibin
(Ling, Haibin.)
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Hu, Qinghua
(Hu, Qinghua.)
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Zheng, Jiayu
(Zheng, Jiayu.)
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Peng, Tao
(Peng, Tao.)
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Wang, Xinyao
(Wang, Xinyao.)
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Zhang, Yue
(Zhang, Yue.)
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Bo, Liefeng
(Bo, Liefeng.)
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Shi, Hailin
(Shi, Hailin.)
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Zhu, Rui
(Zhu, Rui.)
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Jadhav, Ajit
(Jadhav, Ajit.)
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Dong, Bing
(Dong, Bing.)
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Lall, Brejesh
(Lall, Brejesh.)
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Liu, Chang
(Liu, Chang.)
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Zhang, Chunhui
(Zhang, Chunhui.)
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Wang, Dong
(Wang, Dong.)
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Ni, Feng
(Ni, Feng.)
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Bunyak, Filiz
(Bunyak, Filiz.)
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Wang, Gaoang
(Wang, Gaoang.)
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Liu, Guizhong
(Liu, Guizhong.)
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Seetharaman, Guna
(Seetharaman, Guna.)
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Li, Guorong
(Li, Guorong.)
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Ardö, Hakan
(Ardö, Hakan.)
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Zhang, Haotian
(Zhang, Haotian.)
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Yu, Hongyang
(Yu, Hongyang.)
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Lu, Huchuan
(Lu, Huchuan.)
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Hwang, Jenq-Neng
(Hwang, Jenq-Neng.)
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Mu, Jiatong
(Mu, Jiatong.)
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Hu, Jinrong
(Hu, Jinrong.)
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Palaniappan, Kannappan
(Palaniappan, Kannappan.)
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Chen, Long
(Chen, Long.)
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DIng, Lu
(DIng, Lu.)
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Lauer, Martin
(Lauer, Martin.)
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Nilsson, Mikael
(Nilsson, Mikael.)
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Al-Shakarji, Noor M.
(Al-Shakarji, Noor M..)
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Mukherjee, Prerana
(Mukherjee, Prerana.)
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Huang, Qingming
(Huang, Qingming.)
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Laganière, Robert
(Laganière, Robert.)
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Chen, Shuhao
(Chen, Shuhao.)
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Pan, Siyang
(Pan, Siyang.)
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Kaushik, Vinay
(Kaushik, Vinay.)
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Shi, Wei
(Shi, Wei.)
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Tian, Wei
(Tian, Wei.)
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Li, Weiqiang
(Li, Weiqiang.)
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Chen, Xin
(Chen, Xin.)
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Zhang, Xinyu
(Zhang, Xinyu.)
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Zhang, Yanting
(Zhang, Yanting.)
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Zhao, Yanyun
(Zhao, Yanyun.)
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Wang, Yong
(Wang, Yong.)
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Song, Yuduo
(Song, Yuduo.)
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Yao, Yuehan
(Yao, Yuehan.)
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Chen, Zhaotang
(Chen, Zhaotang.)
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Xu, Zhenyu
(Xu, Zhenyu.)
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Xiao, Zhibin
(Xiao, Zhibin.)
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Tong, Zhihang
(Tong, Zhihang.)
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Luo, Zhipeng
(Luo, Zhipeng.)
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Sun, Zhuojin
(Sun, Zhuojin.)
Unfold
Abstract:
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. © 2019 IEEE.
Keyword:
Aircraft detection
Benchmarking
Computer vision
Drones
Object tracking
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