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The Sixth Visual Object Tracking VOT2018 Challenge Results

Computer Vision – ECCV 2018 Workshops, 2019, p.3-53 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 3030110087 ;ISBN: 9783030110086 ;ISBN: 3030110095 ;ISBN: 9783030110093 ;EISSN: 1611-3349 ;EISBN: 3030110095 ;EISBN: 9783030110093 ;DOI: 10.1007/978-3-030-11009-3_1

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Title:
The Sixth Visual Object Tracking VOT2018 Challenge Results
Author: Kristan, Matej ; Leonardis, Aleš ; Matas, Jiří ; Pflugfelder, Roman ; Vojír̃, Tomáš ; Bhat, Goutam ; Lukežič, Alan ; Eldesokey, Abdelrahman ; Fernández, Gustavo ; García-Martín, Álvaro ; Iglesias-Arias, Álvaro ; Alatan, A. Aydin ; Petrosino, Alfredo ; Vedaldi, Andrea ; He, Anfeng ; Smeulders, Arnold ; Perera, Asanka G. ; Li, Bo ; Chen, Boyu ; Xu, Changsheng ; Xiong, Changzhen ; Sun, Chong ; Kim, Daijin ; Wang, Dong ; Gavves, Efstratios ; Gundogdu, Erhan ; Velasco-Salido, Erik ; Khan, Fahad Shahbaz ; Yang, Fan ; Zhao, Fei ; Battistone, Francesco ; De Ath, George ; Subrahmanyam, Gorthi R. K. S. ; Bastos, Guilherme ; Lee, Hankyeol ; Li, Haojie ; Zhao, Haojie ; Fan, Heng ; Zhang, Honggang ; Li, Houqiang ; Chang, Hyung Jin ; Valmadre, Jack ; Chahl, Javaan ; Li, Jing ; Wang, Jinqiao ; Qi, Jinqing ; Henriques, Joao ; Choi, Jongwon ; Herranz, Jorge Rodríguez ; Martínez, José M. ; Kittler, Josef ; Grm, Klemen ; Zhang, Lichao ; Wang, Lijun ; Yang, Lingxiao ; Si, Liu ; Bertinetto, Luca ; Chu, Lutao ; Maresca, Mario Edoardo ; Danelljan, Martin ; Yang, Ming-Hsuan ; Abdelpakey, Mohamed ; Shehata, Mohamed ; Kang, Myunggu ; Miksik, Ondrej ; Moallem, P. ; Vicente-Moñivar, Pablo ; Raju, Priya Mariam ; Ruihe, Qian ; Wang, Qiang ; Zhou, Qin ; Guo, Qing ; Martín-Nieto, Rafael ; Bowden, Richard ; Everson, Richard ; Yun, Sangdoo ; Vivas, Sergio ; Huang, Shuangping ; Hadfield, Simon ; Golodetz, Stuart ; Xu, Tianyang ; Zhang, Tianzhu ; Fischer, Tobias ; Santopietro, Vincenzo ; Štruc, Vitomir ; Wei, Wang ; Zuo, Wangmeng ; Feng, Wei ; Hu, Weiming ; Zhou, Wengang ; Zhang, Xiaofan ; Wu, Xiaohe ; Tian, Xinmei ; Lu, Yan ; Wu, Yi ; Demiris, Yiannis ; Jiao, Yifan ; Sun, Yuxuan ; Zhu, Zheng ; Wang, Zhihui
Is Part Of: Computer Vision – ECCV 2018 Workshops, 2019, p.3-53
Description: 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).
Publisher: Cham: Springer International Publishing
Language: English
Identifier: ISSN: 0302-9743
ISBN: 3030110087
ISBN: 9783030110086
ISBN: 3030110095
ISBN: 9783030110093
EISSN: 1611-3349
EISBN: 3030110095
EISBN: 9783030110093
DOI: 10.1007/978-3-030-11009-3_1
Source: SWEPUB Freely available online

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The Sixth Visual Object Tracking VOT2018 Challenge Results

Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 3030110087 ;ISBN: 9783030110086 ;ISBN: 3030110095 ;ISBN: 9783030110093 ;EISSN: 1611-3349 ;EISBN: 3030110095 ;EISBN: 9783030110093 ;DOI: 10.1007/978-3-030-11009-3_1

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