• DocumentCode
    3745927
  • Title

    The Visual Object Tracking VOT2015 Challenge Results

  • Author

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg;Luka Cehovin;Gustavo Fernandez;Toma Vojir;Gustav Hager;Georg Nebehay;Roman Pflugfelder;Abhinav Gupta;Adel Bibi;Alan Lukezic;Alvaro Garcia-Martin;Amir Saffari;Alfredo Petrosino;Andrés Solis Mo

  • Author_Institution
    Univ. of Ljubljana, Ljubljana, Slovenia
  • fYear
    2015
  • Firstpage
    564
  • Lastpage
    586
  • Abstract
    The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
  • Keywords
    "Target tracking","Visualization","Object tracking","Benchmark testing","Australia","Performance evaluation","Area measurement"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshop (ICCVW), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCVW.2015.79
  • Filename
    7406428