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  4. The thermal infrared visual object tracking VOT-TIR2016 challenge results
 
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2016
Conference Paper
Title

The thermal infrared visual object tracking VOT-TIR2016 challenge results

Abstract
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.
Author(s)
Felsberg, Michael
Kristian, Matej
Matas, Jiri
Arens, Michael  
Krah, Sebastian
Becker, Stefan  
Hübner, Wolfgang  
et al.
Mainwork
Computer Vision - ECCV 2016 Workshops  
Conference
European Conference on Computer Vision (ECCV) 2016  
The Visual Object Tracking Challenge Workshop 2016  
File(s)
Download (1.18 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-393554
10.1007/978-3-319-48881-3_55
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • performance evaluation

  • object tracking

  • thermal IR

  • VOT

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