The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristanl,Jiri Matas,Ales Leonardis,Michael Felsberg,Roman Pflugfelder,Joni-Kristian Kamarainen,Luka Cehovin Zajc,Ondrej Drbohlav,Alan Lukezic,Amanda Berg,Abdelrahman Eldesokey,Jani Kapyla,Gustavo Fernandez,Abel Gonzalez-Garcia, Alireza Memarrnoghadam,Andong Lu,Anfeng He,Anton Varfolomieiev,Antoni Chan,Ardhendu Shekhar Tripathi,Arnold Smeulders,Bala Suraj Pedasingu,Bao Xin Chen,Baopeng Zhang,Baoyuan Wu,Bi Li,Bin He,Bin Yan,Bing Bai,Bing Li,Bo Li,Bycong Hak Kim,Chao Ma,Chen Fang,Chen Qian, Cheng Chen,Chenglong Li,Chengquan Zhang,Chi-Yi Tsai,Chong Luo,Christian Micheloni,Chunhui Zhang,Dacheng Tao,Deepak Gupta, Dejia Song,Dong Wang,Efstratios Gavves, Eunu Yi,Fahad Shahbaz Khan, Fangyi Zhang,Fei Wang,Fei Zhao,George De Ath,Goutam Bhat, Guanqi Chen,Guangting Wang,Guoxuan Li,Hakan Cevikalp, Hao Du,Haojie Zhao,Hasan Saribas,Ho Min Jung,Hongliang Bai,Hongyuan Yu,Houwen Peng,Huchuan Lu,Hui Li, Jiakun Li, Jianhu Li,Jianlong Fu,Jie Chen,Jie Gao,Jie Zhao,Jin Tang,Jing Li, Jingjing Wu,Jingtuo Liu,Jinqiao Wang, Jingqing Qi, Jingyue Zhang,John K. Tsotsos, John Hyuk Lee,Joost van de Weijer,Josef Kittler,Jun Ha Lee,Junfei Zhuang,Kangkai Zhang, Kangkang wang,Kenan Dai,Lei Chen,Lei Liu, Leida Guo,Li Zhang,Liang Wang,Liangliang Wang,Lichao Zhang,Lijun Wang,Lijun Zhou,Linyu Zheng,Litu Rout,Luc Van Gool,Luca Bertinetto,Martin Danelljan,Matteo Dunnhofer, Meng Ni,Min Young Kim,Ming Tang,Ming-Hsuan Yang, Naveen Paluru, Niki Martine,Pengfei Xu, Pengfei Zhang, Pengkun Zheng,Pengyu Zhang,Philip H. S. Torr, Qi Zhang Qiang Wang, Qing Gua,Radu Timofte,Rama Krishna Gorthi,Richard Everson,Ruize Han,Ruohan Zhang, Shan You,Shao-Chuan Zhao,Shengwei Zhao, Shihu Li,Shikun Li,Shiming Ge,Shuai Bai, Shuosen Guan, Tengfei Xing,Tianyang Xu,Tianyu Yang,Ting Zhang,Tomas Vojir,Wei Feng,Weiming Hu, Weizhao Wang, Wenjie Tang,Wenjun Zeng,Wenyu Liu,Xi Chen,Xi Qiu,Xiang Bai,Xiao-Jun Wu,Xiaoyun Yang,Xier Chen,Xin Li, Xing Sun,Xingyu Chen,Xinmei Tian,Xu Tang,Xue-Feng Zhu,Yan Huang, Yanan Chen,Yanchao Lian,Yang Gu,Yang Liu, Yanjie Chen,Yi Zhang, Yinda Xu,Yingming Wang, Yingping Li,Yu Zhou,Yuan Dong,Yufei Xu,Yunhua Zhang, Yunkun Li, Zeyu Wang Zhao Luo, Zhaoliang Zhang,Zhen-Hua Feng,Zhenyu He,Zhichao Song,Zhihao Chen,Zhipeng Zhang,Zhirong Wu,Zhiwei Xiong,Zhongjian Huang,Zhu Teng,Zihan Ni

international conference on computer vision(2019)

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摘要
The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).
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tracking,challenge,object
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