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  4. The Sixth Visual Object Tracking VOT2018 Challenge Results
 
conference paper

The Sixth Visual Object Tracking VOT2018 Challenge Results

Kristan, Matej
•
Leonardis, Ales
•
Matas, Jiri
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January 1, 2019
Computer Vision - Eccv 2018 Workshops, Pt I
15th European Conference on Computer Vision (ECCV)

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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).

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Type
conference paper
DOI
10.1007/978-3-030-11009-3_1
Web of Science ID

WOS:000594378400001

Author(s)
Kristan, Matej
Leonardis, Ales
Matas, Jiri
Felsberg, Michael
Pflugfelder, Roman
Zajc, Luka Cehovin
Vojir, Tomas
Bhat, Goutam
Lukezic, Alan
Eldesokey, Abdelrahman
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Date Issued

2019-01-01

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Publisher place

Cham

Published in
Computer Vision - Eccv 2018 Workshops, Pt I
ISBN of the book

978-3-030-11009-3

978-3-030-11008-6

Series title/Series vol.

Lecture Notes in Computer Science

Volume

11129

Start page

3

End page

53

Subjects

Computer Science, Artificial Intelligence

•

Imaging Science & Photographic Technology

•

Computer Science

•

Imaging Science & Photographic Technology

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Event nameEvent placeEvent date
15th European Conference on Computer Vision (ECCV)

Munich, GERMANY

Sep 08-14, 2018

Available on Infoscience
December 31, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/174394
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