The Visual Object Tracking VOT2017 Challenge Results

计算机科学 计算机视觉 人工智能 对象(语法) 视频跟踪
作者
Matej Kristan,Ales Leonardis,Jiri Matas,Michael Felsberg,Roman Pflugfelder,Luka Cehovin Zajc,Tomas Vojir,Gustav Häger,Alan Lukezic,Abdelrahman Eldesokey,Gustavo Fernandez,Alvaro Garcia-Martin,Andrej Muhič,Alfredo Petrosino,Alireza Memarmoghadam,Andrea Vedaldi,Antoine Manzanera,Antoine Tran,Aydin Alatan,Bogdan Mocanu,Boyu Chen,Chang Huang,Changsheng Xu,Chong Sun,Dalong Du,David Zhang,Dawei Du,Deepak Mishra,Erhan Gundogdu,Erik Velasco-Salido,Fahad Shahbaz Khan,Francesco Battistone,Gorthi R. K. Sai Subrahmanyam,Goutam Bhat,Guan Huang,Guilherme Bastos,Guna Seetharaman,Hongliang Zhang,Houqiang Li,Huchuan Lu,Isabela Drummond,Jack Valmadre,Jae-Chan Jeong,Jaeil Cho,Jae-Yeong Lee,Jana Noskova,Jianke Zhu,Jin Gao,Jingyu Liu,Ji-Wan Kim,Joao F. Henriques,Jose M. Martinez,Junfei Zhuang,Junliang Xing,Junyu Gao,Kai Chen,Kannappan Palaniappan,Karel Lebeda,Ke Gao,Kris M. Kitani,Lei Zhang,Lijun Wang,Lingxiao Yang,Longyin Wen,Luca Bertinetto,Mahdieh Poostchi,Martin Danelljan,Matthias Mueller,Mengdan Zhang,Ming-Hsuan Yang,Nianhao Xie,Ning Wang,Ondrej Miksik,P. Moallem,Pallavi Venugopal M,Pedro Senna,Philip H. S. Torr,Qiang Wang,Qifeng Yu,Qingming Huang,Rafael Martin-Nieto,Richard Bowden,Risheng Liu,Ruxandra Tapu,Simon Hadfield,Siwei Lyu,Stuart Golodetz,Sunglok Choi,Tianzhu Zhang,Titus Zaharia,Vincenzo Santopietro,Wei Zou,Weiming Hu,Wenbing Tao,Wenbo Li,Wengang Zhou,Xianguo Yu,Xiao Bian,Yang Li,Yi-Fan Xing
出处
期刊:Le Centre pour la Communication Scientifique Directe - HAL - Diderot 被引量:287
标识
DOI:10.1109/iccvw.2017.230
摘要

The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new real-time experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. 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 VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website1.

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