<-- Icons -->
  • People
  • Research
  • Projects
  • Publications
  • Resources
ViCoS Lab

Authors

Matej Kristan, PhD
Matej Kristan, PhD
Jiri Matas
Jiri Matas
Aleš Leonardis, PhD
Aleš Leonardis, PhD
Michael Felsberg
Michael Felsberg
Roman Pflugfelder
Roman Pflugfelder
Joni-Kristian Kamarainen
Joni-Kristian Kamarainen
Luka Čehovin Zajc, PhD
Luka Čehovin Zajc, PhD
Ondrej Drbohlav
Ondrej Drbohlav
Alan Lukezic
Alan Lukezic
Amanda Berg
Amanda Berg
Abdelrahman Eldesokey
Abdelrahman Eldesokey
Jani Kapyla
Jani Kapyla
Gustavo Fernandez
Gustavo Fernandez

Links

  •   Document

Tags

tracking

The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, Jiri Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Čehovin Zajc, Ondrej Drbohlav, Alan Lukezic, et al.
ICCV 2019 workshops, 2019,

The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 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 as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOTST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on “real-time” shortterm tracking in RGB, (iii) VOT-LT2019 focused on longterm tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard shortterm, long-term tracking and tracking with multi-channel imagery. 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.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245