#151:
M. Kristan,
J. Matas,
A. Leonardis,
M. Felsberg,
..,
R. Pelapur,
K. Palaniappan,
F. Bunyak,
M. Poostchi,
S. Yao, and
K. Gao
IEEE International Conference on Computer Vision Workshops (ICCVW) - Visual Object Tracking Challenge (VOT),
2015
Abstract,
Bibtex,
PlainText,
PDF,
URL,
DOI,
Google Scholar
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 shortterm
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.
@inproceedings{2015a,
author = "M. Kristan and J. Matas and A. Leonardis and M. Felsberg and .. and R. Pelapur and K. Palaniappan and F. Bunyak and M. Poostchi and S. Yao and K. Gao",
title = "The Visual Object Tracking VOT2015 challenge results",
year = 2015,
journal = "IEEE International Conference on Computer Vision Workshops (ICCVW) - Visual Object Tracking Challenge (VOT)",
month = "Dec",
keywords = "wami, tracking, fmv, features, motion, image analysis",
doi = "10.1109/ICCVW.2015.79",
url = "http://www.votchallenge.net/vot2015/program.html"
}
M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao. The Visual Object Tracking VOT2015 challenge results. IEEE International Conference on Computer Vision Workshops (ICCVW) - Visual Object Tracking Challenge (VOT), December 2015.
