The VOT challenges provide the visual tracking community with a precisely defined and repeatable way of comparing short-term trackers as well as a common platform for discussing the evaluation and advancements made in the field of visual tracking.
The goal of the challenges is to build up a repository of considerable benchmarks and to organize workshops or similar events in order to push forward research in visual tracking.
Database
An online repository of sequences and results.
The database is currently under construction.
Citing VOT Challenge
When using any of VOT benchmarks in your paper, please cite the VOT journal paper as well as the relevant VOT workshop paper describing the relevant benchmark.
@article {VOT_TPAMI, author = {Matej Kristan and Jiri Matas and Ale\v{s} Leonardis and Tomas Vojir and Roman Pflugfelder and Gustavo Fernandez and Georg Nebehay and Fatih Porikli and Luka \v{C}ehovin}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={A Novel Performance Evaluation Methodology for Single-Target Trackers}, year={2016}, month={Nov}, volume={38}, number={11}, pages={2137-2155}, doi={10.1109/TPAMI.2016.2516982}, ISSN={0162-8828}}
Highlights and news
VOT2018 announcement
The VOT2018 challenge is opened, with results submission deadline in early June. The results will be announced at the ECCV 2018 workshop on 14th of September. More information on the
challenge page.
This year we are running the VOT main challenge and the VOT-realtime sub-challenge. In addition, a new, VOT-long-term sub-challenge is available, which addresses long-term trackers (class of trackers that copes with situations where targets leave the field of view and re-enter it after some time).
The VideoNet initiative
VideoNet is a new initiative to bring together the community of researchers that have put effort into creating benchmarks for video tasks. The goal of the VideoNet is to exchange ideas on how to improve annotations, evaluation measures, and learn from each other’s experiences. More information available at the
official page.
VOT paper was accepted at Transactions on Pattern Analysis and Machine Intelligence
We are happy to announce that the VOT (2013-2014) methodology paper has been accepted to Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper can be accessed from the
VOT publications page link. For future reference, if you use any of the VOT datasets in your evaluation, please cite this paper as methodology reference as well as the relevant VOT workshop paper for the dataset.
Do you want to stay informed?
If you want to stay informed about the future VOT activities you can subscribe to
our news mailing list. If you are interested in the toolkit and technical aspects, subscribe to
VOT support forum.
本站仅提供存储服务，所有内容均由用户发布，如发现有害或侵权内容，请
点击举报。
