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The visual object tracking VOT2016 challenge results

 
: Kristan, Matej; Leonardis, Ales; Matas, Jiri; Becker, Stefan; Krah, Sebastian; Hübner, Wolsgang; Arens, Michael; et. al.

:
Postprint urn:nbn:de:0011-n-4211921 (2.6 MByte PDF)
MD5 Fingerprint: 5d519f3956c465b3f84a03ec38209158
The original publication is available at springerlink.com
Erstellt am: 10.11.2016


Hua, G.:
Computer Vision - ECCV 2016 Workshops : Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9914)
ISBN: 978-3-319-48880-6 (Print)
ISBN: 978-3-319-48881-3 (Online)
S.777-823
European Conference on Computer Vision (ECCV) <14, 2016, Amsterdam>
The Visual Object Tracking Challenge Workshop <2016, Amsterdam>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
performance evaluation; short-term single-object trackers; VOT

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).

: http://publica.fraunhofer.de/dokumente/N-421192.html