The sixth visual object tracking vot2018 challenge results

Paper


Kristan, Matej, Leonardis, Ales, Matas, Jiří, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Čehovin, Vojír̃, Tomáš, Bhat, Goutam, Lukežič, Alan, Eldesokey, Abdelrahman, Fernández, Gustavo, García-Martín, Álvaro, Iglesias-Arias, Álvaro, Alatan, A. Aydin, González-García, Abel, Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Muhič, Andrej, ..., He, Zhiqun. 2019. "The sixth visual object tracking vot2018 challenge results." European Conference on Computer Vision 2018 Workshops. Munich, Germany 09 - 14 Sep 2018 Germany. Springer. https://doi.org/10.1007/978-3-030-11009-3_1
Paper/Presentation Title

The sixth visual object tracking vot2018 challenge results

Presentation TypePaper
AuthorsKristan, Matej, Leonardis, Ales, Matas, Jiří, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Čehovin, Vojír̃, Tomáš, Bhat, Goutam, Lukežič, Alan, Eldesokey, Abdelrahman, Fernández, Gustavo, García-Martín, Álvaro, Iglesias-Arias, Álvaro, Alatan, A. Aydin, González-García, Abel, Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Muhič, Andrej, He, Anfeng, Smeulders, Arnold, Perera, Asanka G., Li, Bo, Chen, Boyu, Kim, Changick, Xu, Changsheng, Xiong, Changzhen, Tian, Cheng, Luo, Chong, Sun, Chong, Hao, Cong, Kim, Daijin, Mishra, Deepak, Chen, Deming, Wang, Dong, Wee, Dongyoon, Gavves, Efstratios, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad Shahbaz, Yang, Fan, Zhao, Fei, Li, Feng, Battistone, Francesco, De Ath, George, Subrahmanyam, Gorthi R. K. S., Borges, Guilherme, Ling, Haibin, Galoogahi, Hamed Kiani, Lee, Hankyeol, Li, Haojie, Zhao, Haojie, Fan, Heng, Zhang, Honggang, Possegger, Horst, Li, Houqiang, Lu, Huchuan, Zhi, Hui, Li, Huiyun, Lee, Hyemin, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Martin, Jaime Spencer, Chahl, Javaan, Choi, Jin Young, Li, Jing, Wang, Jinqiao, Qi, Jinqing, Sung, Jinyoung, Johnander, Joakim, Henriques, Joao, Choi, Jongwon, van de Weijer, Joost, Herranz, Jorge Rodríguez, Martínez, José M., Kittler, Josef, Zhuang, Junfei, Gao, Junyu, Grm, Klemen, Zhang, Lichao, Wang, Lijun, Yang, Lingxiao, Rout, Litu, Si, Liu, Bertinetto, Luca, Chu, Lutao, Che, Manqiang, Maresca, Mario Edoardo, Danelljan, Martin, Yang, Ming-Hsuan, Abdelpakey, Mohamed, Shehata, Mohamed, Kang, Myunggu, Lee, Namhoon, Wang, Ning, Miksik, Ondrej, Moallem, P., Senna, Pedro, Li, Peixia, Torr, Philip, Raju, Priya Mariam, Ruihe, Qian, Wang, Qiang, Zhou, Qin, Guo, Qing, Martín-Nieto, Rafael, Gorthi, Rama Krishna, Tao, Ran, Bowden, Richard, Everson, Richard, Wang, Runling, Yun, Sangdoo, Choi, Seokeon, Vivas, Sergio, Bai, Shuai, Huang, Shuangping, Wu, Sihang, Hadfield, Simon, Wang, Siwen, Golodetz, Stuart, Ming, Tang, Xu, Tianyang, Zhang, Tianzhu, Fischer, Tobias, Santopietro, Vincenzo, Štruc, Vitomir, Wei, Wang, Zuo, Wangmeng, Feng, Wei, Wu, Wei, Zou, Wei, Hu, Weiming, Zhou, Wengang, Zeng, Wenjun, Zhang, Xiaofan, Wu, Xiaohe, Wu, Xiao-Jun, Tian, Xinmei, Li, Yan, Lu, Yan, Law, Yee Wei, Wu, Yi, Demiris, Yiannis, Yang, Yicai, Jiao, Yifan, Li, Yuhong, Zhang, Yunhua, Sun, Yuxuan, Zhang, Zheng, Zhu, Zheng, Feng, Zhen-Hua, Wang, Zhihui and He, Zhiqun
Journal or Proceedings TitleProceedings of European Conference on Computer Vision 2018 Workshops
Journal Citation11133, pp. 3-53
Number of Pages51
Year2019
PublisherSpringer
Place of PublicationGermany
ISBN9783030110208
9783030110215
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-11009-3_1
Web Address (URL) of Paperhttps://link.springer.com/chapter/10.1007/978-3-030-11009-3_1
Web Address (URL) of Conference Proceedingshttps://link.springer.com/book/10.1007/978-3-030-11009-3
Conference/EventEuropean Conference on Computer Vision 2018 Workshops
Event Details
European Conference on Computer Vision 2018 Workshops
Computer Vision – ECCV 2018 Workshops
Parent
European Conference on Computer Vision
Delivery
In person
Event Date
09 to end of 14 Sep 2018
Event Location
Munich, Germany
Abstract

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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).

Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204603. Computer vision and multimedia computation
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

SeriesLecture Notes in Computer Science
Byline AffiliationsUniversity of Ljubljana, Slovenia
University of Birmingham, United Kingdom
Czech Technical University in Prague, Czech Republic
Linkoping University, Sweden
Austrian Institute of Technology, Austria
TU Wien, Austria
Autonomous University of Madrid, Spain
Middle East Technical University, Turkey
Autonomous University of Barcelona, Spain
Parthenope University of Naples, Italy
University of Isfahan, Iran
University of Oxford, United Kingdom
Microsoft Research, China
University of Amsterdam, Netherlands
University of South Australia
Beihang University, China
Dalian University of Technology, China
Korea Advanced Institute of Science and Technology (KAIST), Korea
National Laboratory of Pattern Recognition, China
Beijing Key Laboratory of Urban Intelligent Control, China
Harbin Institute of Technology, China
University of Illinois Urbana-Champaign, United States
POSTECH, South Korea
Indian Institute of Space Science and Technology, India
NAVER Corp, South Korea
EPFL Observatory, Switzerland
Temple University, United States
University of Chinese Academy of Sciences, China
Mer Mec, Italy
University of Exter, United Kingdom
Federal University of Itajubá, Brazil
Carnegie Mellon University, United States
South China University of Technology, China
Beijing University of Posts and Telecommunications, China
Graz University of Technology, Austria
University of Science and Technology of China, Hefei, China
Chinese Academy of Sciences, China
University of Surrey, United Kingdom
Seoul National University, Korea
Civil Aviation University of China, China
Technical University of Madrid, Spain
Beijing Faceall, China
Hong Kong Polytechnic University, China
Institute of Information Engineering, China
University of California Merced, United States
Memorial University of Newfoundland, Canada
Federal University of Mato Grosso do Sul, Brazil
Shanghai Jiao Tong University, China
Tianjin University, China
North China University of Technology, China
Jiangnan University, China
Imperial College London, United Kingdom
China Huayin Ordnance Test Center, China
Sensetime, China
Indiana University Bloomington, United States
Nanjing Audit University, China
Zhejiang University, China
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