The Visual Object Tracking VOT2013 Challenge Results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211353" target="_blank" >RIV/68407700:21230/13:00211353 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCVW.2013.20" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2013.20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCVW.2013.20" target="_blank" >10.1109/ICCVW.2013.20</a>
Alternative languages
Result language
angličtina
Original language name
The Visual Object Tracking VOT2013 Challenge Results
Original language description
Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow he developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of ifferent tracking methods. To address this issue, the Visual Object Tracking (VOT) workshop was organized in conjunction with ICCV2013. Researchers from academia as well as industry were invited to participate in the first VOT2013 challenge which aimed at single-object visual trackers that do not apply pre-learned models of object appearance (modelfree). Presented here is the OT2013 benchmark dataset for evaluation of single-object visual trackers as well as the results obtained by the trackers competing in the challenge. In contrast to related attempts in tracker enchmarking, the dataset is labeled per-
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Conference on Computer Vision (ICCV 2013) Worskhops
ISBN
978-1-4799-3022-7
ISSN
1550-5499
e-ISSN
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Number of pages
14
Pages from-to
98-111
Publisher name
IEEE
Place of publication
Piscataway
Event location
Sydney
Event date
Dec 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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