The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan; Josef Kittler; Aleš Leonardis; Tianyang Xu; Jiří Matas; Michael Felsberg; Roman Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Čehovin Zajc; Alan Lukežič; Ondrej Drbohlav; Linbo He; Yushan Zhang; Song Yan; Jinyu Yang; Gustavo Fernández; Alexander Hauptmann; Alireza Memarmoghadam; Andreas Robinson; Álvaro García-Martín; Anton Varfolomieiev; Awet Haileslassie Gebrehiwot; Bedirhan Uzun; Bin Yan; Bing Li; Chen Qian; Chi-Yi Tsai; Christian Micheloni; Dong Wang; Fei Wang; Fei Xie; Felix Jaremo Lawin; Fredrik Gustafsson; Gian Luca Foresti; Goutam Bhat; Guangqi Chen; Haibin Ling; Haitao Zhang; Hakan Cevikalp; Haojie Zhao; Haoran Bai; Hari Chandana Kuchibhotla; Hasan Saribas; Heng Fan; Hossein Ghanei-Yakhdan; Houqiang Li; Houwen Peng; Huchuan Lu; Hui Li; Javad Khaghani; Jesus Bescos; Jianhua Li; Jianlong Fu; Jiaqian Yu; Jingtao Xu; Jun Yin; Junhyun Lee; Kaicheng Yu; Kaiwen Liu; Kang Yang; Kenan Dai; Li Cheng; Li Zhang; Lijun Wang; Linyuan Wang; Luc Van Gool; Luca Bertinetto; Matteo Dunnhofer; Miao Cheng; Mohana Murali Dasari; Ning Wang; Pengyu Zhang; Philip H. S. Torr; Qiang Wang; Radu Timofte; Rama Krishna Sai Gorthi; Seokeon Choi; Seyed Mojtaba Marvasti-Zadeh; Shaochuan Zhao; Shohreh Kasaei; Shoumeng Qiu; Shuhao Chen; Thomas B. Schön; Wei Lu; Weiming Hu; Wengang Zhou; Xi Qiu; Xiao Ke; Xiao-Jun Wu; Xiaolin Zhang; Xiaoyun Yang; Xuefeng Zhu; Yingjie Jiang; Yingming Wang; Yiwei Chen; Yu Ye; Yuezhou Li; Yuncon Yao; Yunsung Lee; Yuzhang Gu; Zezhou Wang; Zhangyong Tang; Zhen-Hua Feng; Zhijun Mai; Zhipeng Zhang; Zhirong Wu; Ziang Ma

doi:10.1007/978-3-030-68238-5_39

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The Eighth Visual Object Tracking VOT2020 Challenge Results

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The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan, Josef Kittler, Aleš Leonardis, Tianyang Xu, Jiří Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Čehovin Zajc, …

Computer Vision – ECCV 2020 Workshops, pp.547-601

Lecture Notes in Computer Science, Springer International Publishing

31/01/2021

DOI: https://doi.org/10.1007/978-3-030-68238-5_39

Abstract

Depth

Long-term trackers

Performance evaluation protocol

RGB

RGBD

RGBT

Short-term trackers

State-of-the-art benchmark

Thermal imagery

Visual object tracking

The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. 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 (http://votchallenge.net).

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Title: The Eighth Visual Object Tracking VOT2020 Challenge Results
Creators: Matej Kristan - University of Ljubljana
Josef Kittler - University of Surrey, Centre for Vision, Speech & Signal Processing (CVSSP)
Aleš Leonardis - University of Birmingham
Tianyang Xu - University of Surrey
Jiří Matas - Czech Technical University in Prague
Michael Felsberg - Linköping University
Roman Pflugfelder - Austrian Institute of Technology
Joni-Kristian Kämäräinen
Martin Danelljan - ETH Zurich
Luka Čehovin Zajc
Alan Lukežič - University of Ljubljana
Ondrej Drbohlav - Czech Technical University in Prague
Linbo He - Linköping University
Yushan Zhang - Linköping University
Song Yan
Jinyu Yang - University of Birmingham
Gustavo Fernández - Austrian Institute of Technology
Alexander Hauptmann - Carnegie Mellon University
Alireza Memarmoghadam - University of Isfahan
Andreas Robinson - Linköping University
Álvaro García-Martín - Universidad Autónoma de Madrid
Anton Varfolomieiev - National Polytechnic School
Awet Haileslassie Gebrehiwot - Universidad Autónoma de Madrid
Bedirhan Uzun - Eskişehir Osmangazi University
Bin Yan - Dalian University of Technology
Bing Li - Chinese Academy of Sciences
Chen Qian
Chi-Yi Tsai - Tamkang University
Christian Micheloni - University of Udine
Dong Wang
Fei Wang
Fei Xie - Southeast University
Felix Jaremo Lawin - Linköping University
Fredrik Gustafsson - Uppsala University
Gian Luca Foresti - University of Udine
Goutam Bhat - ETH Zurich
Guangqi Chen
Haibin Ling - Stony Brook University
Haitao Zhang
Hakan Cevikalp - Eskişehir Osmangazi University
Haojie Zhao - Dalian University of Technology
Haoran Bai - Sichuan University
Hari Chandana Kuchibhotla - Indian Institute of Technology Indore
Hasan Saribas
Heng Fan - Stony Brook University
Hossein Ghanei-Yakhdan - Yazd University
Houqiang Li - University of Science and Technology of China
Houwen Peng - Microsoft
Huchuan Lu - Dalian University of Technology
Hui Li - Jiangnan University
Javad Khaghani - University of Alberta
Jesus Bescos - Universidad Autónoma de Madrid
Jianhua Li - Dalian University of Technology
Jianlong Fu - Microsoft
Jiaqian Yu - Samsung
Jingtao Xu - Samsung
Jun Yin
Junhyun Lee
Kaicheng Yu - Renmin University of China
Kaiwen Liu
Kang Yang - Nanjing University of Information Science and Technology
Kenan Dai - Dalian University of Technology
Li Cheng - University of Alberta
Li Zhang - University of Oxford
Lijun Wang - Dalian University of Technology
Linyuan Wang
Luc Van Gool - ETH Zurich
Luca Bertinetto
Matteo Dunnhofer - University of Udine
Miao Cheng
Mohana Murali Dasari - Indian Institute of Technology Indore
Ning Wang - Nanjing University of Information Science and Technology
Pengyu Zhang - Dalian University of Technology
Philip H. S. Torr - University of Oxford
Qiang Wang
Radu Timofte - ETH Zurich
Rama Krishna Sai Gorthi
Seokeon Choi - Korea Advanced Institute of Science and Technology
Seyed Mojtaba Marvasti-Zadeh - University of Alberta
Shaochuan Zhao - Jiangnan University
Shohreh Kasaei - Sharif University of Technology
Shoumeng Qiu - Chinese Academy of Sciences
Shuhao Chen - Dalian University of Technology
Thomas B. Schön - Uppsala University
Wei Lu
Weiming Hu - Chinese Academy of Sciences
Wengang Zhou
Xi Qiu
Xiao Ke - Fuzhou University
Xiao-Jun Wu
Xiaolin Zhang - Chinese Academy of Sciences
Xiaoyun Yang
Xuefeng Zhu - Jiangnan University
Yingjie Jiang - Jiangnan University
Yingming Wang
Yiwei Chen
Yu Ye - Fuzhou University
Yuezhou Li - Fuzhou University
Yuncon Yao - Southeast University
Yunsung Lee
Yuzhang Gu - Chinese Academy of Sciences
Zezhou Wang
Zhangyong Tang - Jiangnan University
Zhen-Hua Feng
Zhijun Mai - University of Electronic Science and Technology of China
Zhipeng Zhang - Chinese Academy of Sciences
Zhirong Wu - Microsoft
Ziang Ma
Publication Details: Computer Vision – ECCV 2020 Workshops, pp.547-601
Series: Lecture Notes in Computer Science
Publisher: Springer International Publishing; Cham
Publication Date: 31/01/2021
Identifiers: 99771849002346
Academic Unit: School of Computer Science and Electronic Engineering; Centre for Vision, Speech & Signal Processing (CVSSP)
Language: English
Resource Type: Book chapter

The Eighth Visual Object Tracking VOT2020 Challenge Results

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