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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

  • 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

    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

  • 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