The Thermal Infrared Visual Object Tracking VOT-TIR2015 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%3A00303553" target="_blank" >RIV/68407700:21230/16:00303553 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCVW.2015.86" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2015.86</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCVW.2015.86" target="_blank" >10.1109/ICCVW.2015.86</a>
Alternative languages
Result language
angličtina
Original language name
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results
Original language description
The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2015 is the first benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Linkoping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.
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
13
Pages from-to
639-651
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
000380434700077