The Visual Object Tracking VOT2013 Challenge Results

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The Visual Object Tracking VOT2013 Challenge Results

Popis výsledku v původním jazyce

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-

Název v anglickém jazyce

The Visual Object Tracking VOT2013 Challenge Results

Popis výsledku anglicky

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-

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/TE01020415" target="_blank" >TE01020415: Centrum kompetence ve zpracování vizuálních informací (V3C - Visual Computing Competence Center)</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Conference on Computer Vision (ICCV 2013) Worskhops

ISBN

978-1-4799-3022-7

ISSN

1550-5499

e-ISSN

—

Počet stran výsledku

14

Strana od-do

98-111

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Sydney

Datum konání akce

1. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—