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The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Lebeda, K, Hadfield, SJ, Bowden, R and et al., (2016) The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results In: Proceedings, European Conference on Computer Vision (ECCV) workshops, 2016-10-01 - ?.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
AuthorsEmailORCID
Lebeda, KUNSPECIFIEDUNSPECIFIED
Hadfield, SJUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
et al., UNSPECIFIEDUNSPECIFIED
Date : 1 October 2016
Identification Number : https://doi.org/10.1007/978-3-319-48881-3_55
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:54
Last Modified : 28 Mar 2017 15:54
URI: http://epubs.surrey.ac.uk/id/eprint/813059

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