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.
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 seventh framework programme under grant agreement
no 257906. Jiri Matas and Tomas 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).
Michael Felsberg and Gustav H¨ager were supported
by the Swedish Foundation for Strategic Research through
the project CUAS and the Swedish Research Council trough
the project EMC2. Some experiments where run on GPUs
donated by NVIDIA.