The Visual Object Tracking VOT2014 Challenge Results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230210" target="_blank" >RIV/68407700:21230/15:00230210 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16181-5_14" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16181-5_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16181-5_14" target="_blank" >10.1007/978-3-319-16181-5_14</a>
Alternative languages
Result language
angličtina
Original language name
The Visual Object Tracking VOT2014 Challenge Results
Original language description
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing sho rt-term single-object visual trackers that do not apply pre-learned models of object appea rance. Results of 38 trackers are presented. The number of tested trackers makes VOT 2014the largest benchmark on short-term tracking to date. For each participating tracker, a sh ort description is provided in the appendix. Features of the VOT2014 challenge that go bey ond its VOT2013 predecessor are introduced: (i) a new VOT2014 dataset with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2 013 evaluation methodology, (iii) a new unit for tracking speed assessment less dependent on the hardware and (iv) the VOT2014 evaluation toolkit that significantly speeds up execu tion of experiments. The dataset, the evaluation kit as well as the results are publicly a vailable at the challenge website (http://www.votchallenge.net/).
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
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
2015
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 2014 Workshops, Part II
ISBN
978-3-319-16180-8
ISSN
0302-9743
e-ISSN
—
Number of pages
27
Pages from-to
191-217
Publisher name
Springer
Place of publication
Cham
Event location
Zurich
Event date
Sep 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000362495500014