The Visual Object Tracking VOT2015 Challenge Results
Number of Authors: 135
2015 (English)In: Proceedings 2015 IEEE International Conference on Computer Vision Workshops ICCVW 2015, IEEE , 2015, 564-586 p.Conference paper (Refereed)Text
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
Place, publisher, year, edition, pages
IEEE , 2015. 564-586 p.
, IEEE International Conference on Computer Vision Workshop (ICCVW), ISSN 5499 ; 2015
Area measurement;Australia;Benchmark testing;Object tracking;Performance evaluation;Target tracking;Visualization
Computer Vision and Robotics (Autonomous Systems) Radiology, Nuclear Medicine and Medical Imaging Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-125253DOI: 10.1109/ICCVW.2015.79ISI: 000380434700070ISBN: 978-1-4673-8390-5OAI: oai:DiVA.org:liu-125253DiVA: diva2:904096
2015 IEEE International Conference on Computer Vision Workshops, 11–18 December 2015, Santiago, Chile