The Eighth Visual Object Tracking VOT2020 Challenge Results

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346898" target="_blank" >RIV/68407700:21230/20:00346898 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-030-68238-5_39" target="_blank" >https://doi.org/10.1007/978-3-030-68238-5_39</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-68238-5_39" target="_blank" >10.1007/978-3-030-68238-5_39</a>

Result language

angličtina

Original language name

The Eighth Visual Object Tracking VOT2020 Challenge Results

Original language description

The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net).

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

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

Article name in the collection

Computer Vision – ECCV 2020 Workshops, Part V

ISBN

978-3-030-68237-8

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

55

Pages from-to

547-601

Publisher name

Springer

Place of publication

Cham

Event location

Glasgow

Event date

Aug 23, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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