The thermal infrared visual object tracking VOT-TIR2016 challenge results

Michael Felsberg*, Matej Kristan, Jiři Matas, Aleš Leonardis, Roman Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Čehovin, Tomáš Vojír, Alan Lukežič, Gustavo Fernández, Alfredo Petrosino, Alvaro Garcia Martin, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang Ming ChangDawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, Jose M. Martinez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Ming Tang, Yang Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

53 Scopus citations


The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.

Original languageEnglish (US)
Title of host publicationComputer Vision – ECCV 2016 Workshops, Proceedings
EditorsGang Hua, Herve Jegou
PublisherSpringer Verlag
Number of pages26
ISBN (Print)9783319488806
StatePublished - 2016
EventComputer Vision - ECCV 2016 Workshops, Proceedings - Amsterdam, Netherlands
Duration: Oct 8 2016Oct 16 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9914 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceComputer Vision - ECCV 2016 Workshops, Proceedings

Bibliographical note

Funding Information:
This work was supported in part by the following research programs and projects: Slovenian research agency research programs P2-0214, P2-0094, Slovenian research agency projects J2-4284, J2-3607, J2-2221 and European Union 7th Framework Programme under grant agreement 257906. J. Matas and T. Vojir were supported by CTU Project SGS13/142/OHK3/2T/13 and by the Technology Agency of the Czech Republic project TE01020415 (V3C – Visual Computing Competence Center). M. Felsberg, G. Häger, and A. Eldesokey were supported by the Wallenberg Autonomous Systems Program WASP, the Swedish Foundation for Strategic Research through the project CUAS, and the Swedish Research Council trough the project . J. Ahlberg and A. Berg were supported by the European Union 7th Framework Programme under grant agreement 312784 (P5) and the Swedish Research Council through the contract D0570301. Some experiments where run on GPUs donated by NVIDIA.

Publisher Copyright:
© Springer International Publishing Switzerland 2016.


  • Object tracking
  • Performance evaluation
  • Thermal IR
  • VOT

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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