Under CopyrightKristan, MatejMatejKristanLeonardis, AlesAlesLeonardisMatas, JiriJiriMatasBecker, StefanStefanBeckerKrah, SebastianSebastianKrahHübner, WolsgangWolsgangHübnerArens, MichaelMichaelArenset al.2022-03-1310.11.20162016https://publica.fraunhofer.de/handle/publica/39355610.1007/978-3-319-48881-3_5410.24406/publica-r-393556The 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. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).enperformance evaluationshort-term single-object trackersVOTconference paper