Overview
The SkiTB Visual Tracking Challenge is set to take place at the 4th Workshop on Computer Vision for Winter Sports (CV4WS) during the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026. This challenge invites participants to develop innovative tracking solutions for skiers in dynamic winter sports environments, utilizing a comprehensive dataset designed for this purpose.
Background & Relevance
Tracking in complex environments is a critical aspect of computer vision, particularly in sports analytics. The SkiTB Visual Tracking Challenge emphasizes the need for robust tracking algorithms that can operate in real-time and across multiple camera views. This challenge not only enhances the understanding of tracking methodologies but also contributes to advancements in sports technology, providing insights that can be applied in various real-world scenarios.
Key Details
- Challenge Open Date: November 17, 2025
- Submission Deadline: December 10, 2025
- Paper Submission Deadline: December 22, 2025
- Workshop Dates: March 6 or 7, 2026
- Challenge Website: SkiTB Challenge
- Workshop Website: CV4WS at WACV 2026
Eligibility & Participation
This challenge is open to researchers and practitioners in the field of computer vision. Participants are encouraged to form teams and submit their tracking solutions. Selected teams will have the opportunity to present their work at the workshop, with potential for further publication in a special issue of a journal.
Submission or Application Guidelines
- Visit the challenge page for detailed participation instructions.
- Develop a tracking solution using the SkiTB dataset, which includes 300 multi-camera skiing videos and nearly 353,000 annotated frames.
- Submit your solution by the specified deadline.
- Prepare a paper (maximum 8 pages) describing your approach for submission by the paper deadline.
Additional Context / Real-World Relevance
The SkiTB Visual Tracking Challenge is significant in the realm of computer vision as it addresses the complexities of tracking in outdoor sports. The insights gained from this challenge can lead to improved performance analysis tools for athletes and coaches, enhancing training methodologies and competitive strategies in winter sports.
Conclusion
The SkiTB Visual Tracking Challenge at WACV 2026 presents an exciting opportunity for those involved in computer vision research and application. Participants are encouraged to engage with this challenge to showcase their skills and contribute to the advancement of tracking technologies in sports. Explore the challenge, form your teams, and prepare to innovate in the field of computer vision.
Category: Conferences & Workshops
Tags: computer vision, winter sports, tracking, WACV, SkiTB, machine learning, multimedia, video analysis
