The Visual Object Tracking VOT2015 challenge results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00303552" target="_blank" >RIV/68407700:21230/16:00303552 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCVW.2015.79" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2015.79</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCVW.2015.79" target="_blank" >10.1109/ICCVW.2015.79</a>
Alternative languages
Result language
angličtina
Original language name
The Visual Object Tracking VOT2015 challenge results
Original language description
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website(1).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The IEEE International Conference on Computer Vision (ICCV) Workshops
ISBN
978-0-7695-5720-5
ISSN
1550-5499
e-ISSN
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Number of pages
23
Pages from-to
564-586
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Santiago de Chile
Event date
Dec 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380434700070