The visual object tracking VOT2014 challenge results

Matej Kristan*, Roman Pflugfelder, Ales Leonardis, Jiri Matas, Luka Čehovin, Georg Nebehay, Tomáš Vojíř, Gustavo Fernández, Alan Lukežič, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cher Keng Heng, Christophe Garcia, Dominik Pangeršič, Gustav Häger, Fahad Shahbaz Khan, Franci OvenHorst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Ji Jia Li, Jin Young Choi, Jin Woo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming Ming Cheng, Philip Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha Yue Ying Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

130 Citations (Scopus)


The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. The number of tested trackers makes VOT 2014 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2014 challenge that go beyond its VOT2013 predecessor are introduced: (i) a new VOT2014 dataset with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2013 evaluation methodology, (iii) a new unit for tracking speed assessment less dependent on the hardware and (iv) the VOT2014 evaluation toolkit that significantly speeds up execution of experiments. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (

Original languageEnglish
Title of host publicationComputer Vision - ECCV 2014 Workshops
Subtitle of host publicationZurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II
EditorsLourdes Agapito, Michael M. Bronstein, Carsten Rother
Number of pages27
ISBN (Electronic)9783319161815
ISBN (Print)9783319161808
Publication statusPublished - 2015
Event13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
Duration: 6 Sept 201412 Sept 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference13th European Conference on Computer Vision, ECCV 2014


  • Performance evaluation
  • Short-term single-object trackers
  • VOT

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science


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