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The thermal infrared visual object tracking VOT-TIR2016 challenge results

: Felsberg, Michael; Kristian, Matej; Matas, Jiri; Arens, Michael; Krah, Sebastian; Becker, Stefan; Hübner, Wolfgang; et. al.

Postprint urn:nbn:de:0011-n-4211933 (1.1 MByte PDF)
MD5 Fingerprint: 94e359749003624e0fd1c1dbe431bbdb
The original publication is available at
Created on: 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)
European Conference on Computer Vision (ECCV) <14, 2016, Amsterdam>
The Visual Object Tracking Challenge Workshop <2016, Amsterdam>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
performance evaluation; object tracking; thermal IR; VOT

The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.