SKITB Visual Tracking Challenge
at the 3rd Workshop on Computer Vision for Winter Sports
SKITB Visual Tracking Challenge
at the 3rd Workshop on Computer Vision for Winter Sports (CV4WS)
https://sites.google.com/unitn.it/cv4ws-wacv2025
in conjunction with
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
(https://wacv2025.thecvf.com/)
CHALLENGE WEBSITE
https://codalab.lisn.upsaclay.fr/competitions/20897
OVERVIEW
We are excited to announce the SkiTB Visual Tracking Challenge, part
of the CV4WS workshop at WACV 2025. This challenge focuses on tracking
skiers' performances across multiple camera views in complex,
real-world winter sports environments. Participants will design
trackers capable of following a skier throughout a performance,
starting with the bounding box in the first frame and localizing the
skier in all subsequent frames.
The challenge leverages the SkiTB dataset, featuring: 300 multi-camera
professional skiing videos; 352,978 annotated frames; Full HD videos
in dynamic, snowy outdoor environments. This dataset offers a unique
opportunity to test tracking models on complex scenarios typical of
winter sports.
IMPORTANT DATES
December 1, 2024: challenge open
January 31, 2025: submission due
February 7, 2025: technical report due
Workshop date:
February 28 or March 3 or 4, 2025
PARTICIPATION
Detailed instructions on how to participate are available on the
challenge page:
https://codalab.lisn.upsaclay.fr/competitions/20897
We encourage researchers and practitioners in computer vision to
participate in this exciting challenge. Selected teams will be invited
to present their solutions at the workshop, with opportunities for
further publication in a special journal issue.
We look forward to your submissions!
ORGANIZERS
Dr. Niccolò Bisagno, University of Trento, Italy
Dr. Matteo Dunnhofer, University of Udine, Italy
Dr. Katja Ludwig, University of Augsburg, Germany
Prof. Hideki Koike, Tokyo Institute of Technology, Japan
Prof. Christian Micheloni, University of Udine, Italy
Prof. Nicola Conci, University of Trento, Italy