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.
Highlights and news
VOT2016 Trackers repository
The VOT2016 trackers repository is on-line
VOT2016 ground truth segmentations
The VOT2016 video segmentations are now freely available to the tracking community. All frames in the 60 sequences of the VOT2016 have been manually segmented with tools developed by the VOT technical committee. The segmentations as well as the code to automatically fit bounding boxes to the segmentations are now publicly available from this link
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
. 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