The Visual Object Tracking VOT2016 challenge results

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2016-10-08

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Gündoğdu, Erhan
Alatan, Abdullah Aydın

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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.

Subject Keywords

Performance evaluation, Short-term single-object trackers, VOT

URI

https://hdl.handle.net/11511/43369

DOI

https://doi.org/10.1007/978-3-319-48881-3_54

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

E. Gündoğdu and A. A. Alatan, “The Visual Object Tracking VOT2016 challenge results,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43369.