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. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

Roffo, G., Melzi, S. (2016). The Visual Object Tracking VOT2016 Challenge Results. In Computer Vision - ECCV 2016 Workshops. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II (pp.777-823). Springer [10.1007/978-3-319-48881-3_54].

The Visual Object Tracking VOT2016 Challenge Results

Melzi, S
2016

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. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).
No
paper
Performance evaluation; Short-term single-object trackers; VOT;
English
European Conference on Computer Vision. ECCV 2016
978-3-319-48881-3
Roffo, G., Melzi, S. (2016). The Visual Object Tracking VOT2016 Challenge Results. In Computer Vision - ECCV 2016 Workshops. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II (pp.777-823). Springer [10.1007/978-3-319-48881-3_54].
Roffo, G; Melzi, S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/350582
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