Overview
The SkiTB Visual Tracking Challenge is set to take place during the 4th Workshop on Computer Vision for Winter Sports (CV4WS) at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026. This challenge invites participants to develop innovative tracking systems capable of monitoring skiers’ performances through multiple camera angles in challenging winter sports environments. The event is designed to push the boundaries of visual tracking technology in real-world scenarios.
Background & Relevance
Visual tracking is a critical area in computer vision, particularly in dynamic environments like winter sports. The ability to accurately track athletes can enhance performance analysis, safety measures, and training methodologies. The SkiTB dataset, which includes a substantial collection of skiing videos, provides a rich resource for researchers to test and refine their tracking algorithms. This challenge not only promotes advancements in tracking technologies but also fosters collaboration among researchers and practitioners in the field.
Key Details
- Challenge Open Date: November 17, 2025
- Submission Deadline: December 10, 2025
- Paper Submission Deadline: December 22, 2025
- Workshop Date: March 6 or 7, 2026
- Challenge Website: SkiTB Challenge
- Workshop Website: CV4WS Workshop
Eligibility & Participation
This challenge is open to researchers and practitioners who are interested in computer vision and visual tracking. Participants will have the opportunity to showcase their solutions at the workshop, and selected teams may also publish their findings in a special journal issue. Detailed participation instructions can be found on the challenge website.
Submission or Application Guidelines
To participate in the SkiTB Visual Tracking Challenge, follow these steps:
1. Visit the challenge website.
2. Register for the competition.
3. Download the SkiTB dataset to develop your tracking solution.
4. Submit your tracking results by the submission deadline.
5. Prepare a paper detailing your solution for submission by December 22, 2025.
Additional Context / Real-World Relevance
The SkiTB Visual Tracking Challenge is significant for the advancement of computer vision techniques in sports analytics. By focusing on real-world applications, this challenge encourages the development of robust tracking algorithms that can be applied in various domains, including sports science, safety monitoring, and entertainment. The integration of machine learning with visual tracking in dynamic environments presents an exciting frontier for researchers.
Conclusion
The SkiTB Visual Tracking Challenge at WACV 2026 represents a unique opportunity for researchers to engage with cutting-edge technology in the realm of winter sports. Participants are encouraged to explore this challenge, submit their innovative solutions, and contribute to the evolving landscape of computer vision. We look forward to seeing the creative approaches that emerge from this competition.
Category: Conferences & Workshops
Tags: computer vision, winter sports, tracking, skiing, wacv, multimedia, machine learning, dataset
