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dc.contributor.author
Kristan, Matej
dc.contributor.author
Matas, Jiri
dc.contributor.author
Leonardis, Aleš
dc.contributor.author
Felsberg, Michael
dc.contributor.author
Pflugfelder, Roman
dc.contributor.author
Kämäräinen, Joni-Kristian
dc.contributor.author
Chang, Hyung Jin
dc.contributor.author
Danelljan, Martin
dc.contributor.author
Čehovin Zajc, Luka
dc.contributor.author
Lukežič, Alan
dc.contributor.author
Drbohlav, Ondrej
dc.contributor.author
Käpylä, Jani
dc.contributor.author
Häger, Gustav
dc.contributor.author
Yan, Song
dc.contributor.author
Yang, Jinyu
dc.contributor.author
Zhang, Zhongqun
dc.contributor.author
Fernández, Gustavo
dc.contributor.author
Abdelpakey, Mohamed
dc.contributor.author
Bhat, Goutam
dc.contributor.author
Cerkezi, Llukman
dc.contributor.author
Mayer, Christian
dc.contributor.author
Paudel, Danda
dc.contributor.author
Timofte, Radu
dc.contributor.author
Van Gool, Luc
dc.contributor.author
et al.
dc.date.accessioned
2022-03-15T14:59:52Z
dc.date.available
2022-02-25T04:21:17Z
dc.date.available
2022-03-15T14:59:52Z
dc.date.issued
2021
dc.identifier.isbn
978-1-6654-0191-3
en_US
dc.identifier.isbn
978-1-6654-0192-0
en_US
dc.identifier.other
10.1109/ICCVW54120.2021.00305
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/534135
dc.description.abstract
The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website(1).
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
The Ninth Visual Object Tracking VOT2021 Challenge Results
en_US
dc.type
Conference Paper
dc.date.published
2021-11-24
ethz.book.title
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
en_US
ethz.pages.start
2711
en_US
ethz.pages.end
2738
en_US
ethz.event
2021 IEEE/CVF International Conference on Computer Vision (ICCVW 2021)
en_US
ethz.event.location
Online
en_US
ethz.event.date
October 11-17, 2021
en_US
ethz.identifier.wos
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2022-02-25T04:21:26Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-03-15T15:00:03Z
ethz.rosetta.lastUpdated
2023-02-07T00:23:37Z
ethz.rosetta.versionExported
true
ethz.COinS
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