The visual object tracking VOT2016 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%3A00307455" target="_blank" >RIV/68407700:21230/16:00307455 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-48881-3_54" target="_blank" >http://dx.doi.org/10.1007/978-3-319-48881-3_54</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-48881-3_54" target="_blank" >10.1007/978-3-319-48881-3_54</a>
Alternative languages
Result language
angličtina
Original language name
The visual object tracking VOT2016 challenge results
Original language description
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http: //votchallenge.net).
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
Computer Vision – ECCV 2016 Workshops, Part II
ISBN
978-3-319-48880-6
ISSN
0302-9743
e-ISSN
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Number of pages
47
Pages from-to
777-823
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Amsterdam
Event date
Oct 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389501700054