The Visual Object Tracking VOT2016 Challenge Results


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Kristan M., Leonardis A., Matas J., Felsberg M., Pflugfelder R., Cehovin L., ...More

14th European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 8 - 16 October 2016, vol.9914, pp.777-823 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9914
  • Doi Number: 10.1007/978-3-319-48881-3_54
  • City: Amsterdam
  • Country: Netherlands
  • Page Numbers: pp.777-823
  • Hacettepe University Affiliated: Yes

Abstract

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.