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The Visual Object Tracking VOT2016 Challenge Results

Hadfield, SJ, Bowden, R and Lebeda, K (2016) The Visual Object Tracking VOT2016 Challenge Results In: European Conference on Computer Vision (ECCV) 2016 workshops, 2016-10-08-2016-10-10, Amsterdam, Netherlands.

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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).

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Hadfield, SJUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Lebeda, KUNSPECIFIEDUNSPECIFIED
Date : 1 October 2016
Identification Number : https://doi.org/10.1007/978-3-319-48881-3_54
Copyright Disclaimer : © Springer International Publishing Switzerland 2016
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/813058

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