The sixth visual object tracking vot2018 challenge results
Paper
Paper/Presentation Title | The sixth visual object tracking vot2018 challenge results |
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Presentation Type | Paper |
Authors | 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, 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 Title | Proceedings of European Conference on Computer Vision 2018 Workshops |
Journal Citation | 11133, pp. 3-53 |
Number of Pages | 51 |
Year | 2019 |
Publisher | Springer |
Place of Publication | Germany |
ISBN | 9783030110208 |
9783030110215 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-11009-3_1 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-11009-3_1 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-030-11009-3 |
Conference/Event | European 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 Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 4603. 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. |
Series | Lecture Notes in Computer Science |
Byline Affiliations | University 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, 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, United States | |
Nanjing Audit University, China | |
Zhejiang University, China |
https://research.usq.edu.au/item/z77yy/the-sixth-visual-object-tracking-vot2018-challenge-results
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