The Visual Object Tracking VOT2017 Challenge Results
Matej Kristan(University of Ljubljana), Aleš Leonardis(University of Birmingham), Jiřı́ Matas(Czech Technical University in Prague), Michael Felsberg(Linköping University), Roman Pflugfelder(Austrian Institute of Technology), Luka Čehovin Zajc(University of Ljubljana), Tomas Vojir(Czech Technical University in Prague), G Hager(Linköping University), Alan Lukežič(University of Ljubljana), Abdelrahman Eldesokey(Linköping University), Gustavo J. Fernández(Austrian Institute of Technology), Álvaro García‐Martín(Universidad Autónoma de Madrid), Andrej Muhič(University of Ljubljana), Alfredo Petrosino(Parthenope University of Naples), Alireza Memarmoghadam(University of Isfahan), Andrea Vedaldi(University of Oxford), Antoine Manzanera(École Nationale Supérieure de Techniques Avancées), Antoine Tran(École Nationale Supérieure de Techniques Avancées), Aydin Alatan(Middle East Technical University), Bogdan Mocanu(Institut Mines-Télécom), Boyu Chen(Dalian University of Technology), Chang Huang(Horizon Robotics (China)), Changsheng Xu(Chinese Academy of Sciences), Chong Sun(Dalian University of Technology), Dalong Du(University of Chinese Academy of Sciences), David Zhang(Hong Kong Polytechnic University), Dawei Du(University of Chinese Academy of Sciences), Deepak Mishra(Indian Institute of Space Science and Technology), Erhan Gündoğdu(Middle East Technical University), Erik Velasco-Salido(Universidad Autónoma de Madrid), Fahad Shahbaz Khan(Linköping University), Francesco Battistone(Parthenope University of Naples), Gorthi R. K. Sai Subrahmanyam(Indian Institute of Space Science and Technology), Goutam Bhat(Linköping University), Guan Huang(Horizon Robotics (China)), Guilherme Sousa Bastos(Universidade Federal de Itajubá), Guna Seetharaman(United States Naval Research Laboratory), Hongliang Zhang(National University of Defense Technology), Houqiang Li(University of Science and Technology of China), Huchuan Lu(Dalian University of Technology), Isabela Drummond(Universidade Federal de Itajubá), Jack Valmadre(University of Oxford), Jae‐chan Jeong(Electronics and Telecommunications Research Institute), Jae-il Cho(Electronics and Telecommunications Research Institute), Jae-Yeong Lee(Electronics and Telecommunications Research Institute), Jana Nosková(Czech Technical University in Prague), Jianke Zhu(Zhejiang University), Jin Gao(Chinese Academy of Sciences), Jingyu Liu(Chinese Academy of Sciences), Ji-Wan Kim(Electronics and Telecommunications Research Institute), João F. Henriques(University of Oxford), José M. Martínez(Universidad Autónoma de Madrid), Junfei Zhuang(Beijing University of Posts and Telecommunications), Junliang Xing(Chinese Academy of Sciences), Junyu Gao(Chinese Academy of Sciences), Kai Chen(Huazhong University of Science and Technology), Kannappan Palaniappan(University of Missouri), Karel Lebeda(Foundry (United Kingdom)), Ke Gao(University of Missouri), Kris Kitani(Carnegie Mellon University), Lei Zhang(Hong Kong Polytechnic University), Lijun Wang(Dalian University of Technology), Lingxiao Yang(Hong Kong Polytechnic University), Longyin Wen(GE Global Research (United States)), Luca Bertinetto(University of Oxford), Mahdieh Poostchi(University of Missouri), Martin Danelljan(Linköping University), Matthias Mueller(King Abdullah University of Science and Technology), Mengdan Zhang(Chinese Academy of Sciences), Ming-Hsuan Yang(University of California, Merced), Nianhao Xie(National University of Defense Technology), Ning Wang(University of Science and Technology of China), Ondřej Mikšík(University of Oxford), Payman Moallem(University of Isfahan), Pallavi M. Venugopal(Indian Institute of Space Science and Technology), Pedro Senna(Universidade Federal de Itajubá), Philip H. S. Torr(University of Oxford), Qiang Wang(Chinese Academy of Sciences), Qifeng Yu(Indian Institute of Space Science and Technology), Qingming Huang(University of Chinese Academy of Sciences), Rafael Martín-Nieto(Universidad Autónoma de Madrid), Richard Bowden(University of Surrey), Risheng Liu(Dalian University of Technology), Ruxandra Țapu(Institut Mines-Télécom), Simon Hadfield(University of Surrey), Siwei Lyu(University at Albany, State University of New York), Stuart Golodetz(University of Oxford), Sunglok Choi(Electronics and Telecommunications Research Institute), Tianzhu Zhang(Chinese Academy of Sciences), Zaharia Titus(Institut Mines-Télécom), Vincenzo Santopietro(Parthenope University of Naples), Wei Zou(Chinese Academy of Sciences), Weiming Hu(Chinese Academy of Sciences), Wenbing Tao(Huazhong University of Science and Technology), Wenbo Li(University at Albany, State University of New York), Wengang Zhou(University of Science and Technology of China), Xianguo Yu(National University of Defense Technology), Xiao Bian(GE Global Research (United States)), Yang Li(Zhejiang University), Yifan Xing(Carnegie Mellon University), Yingruo Fan(Beijing University of Posts and Telecommunications), Zheng Zhu(University of Chinese Academy of Sciences), Zhipeng Zhang(Chinese Academy of Sciences), Zhiqun He(Beijing University of Posts and Telecommunications)
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Abstract
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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