mlsanityData to 14 Oct 2026

Tracking Skiers from the Top to the Bottom

arXiv 2312.09723 ↗First posted 15 Dec 2023cs.CV cs.AIcited by 6

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Abstract (arXiv)

Skiing is a popular winter sport discipline with a long history of competitive events. In this domain, computer vision has the potential to enhance the understanding of athletes' performance, but its application lags behind other sports due to limited studies and datasets. This paper makes a step forward in filling such gaps. A thorough investigation is performed on the task of skier tracking in a video capturing his/her complete performance. Obtaining continuous and accurate skier localization is preemptive for further higher-level performance analyses. To enable the study, the largest and most annotated dataset for computer vision in skiing, SkiTB, is introduced. Several visual object tracking algorithms, including both established methodologies and a newly introduced skier-optimized baseline algorithm, are tested using the dataset. The results provide valuable insights into the applicability of different tracking methods for vision-based skiing analysis. SkiTB, code, and results are available at https://machinelearning.uniud.it/datasets/skitb.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 53 of its 82 references that are in the map. First posted on arXiv 15 Dec 2023.

Builds on

53 of 82 references.

References · 53

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  12. 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 350
38 more
  1. 2019Learning Discriminative Model Prediction for Trackingcited by 344
  2. 2018TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wildcited by 343
  3. 2022Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Frameworkcited by 330
  4. 2018ATOM: Accurate Tracking by Overlap Maximizationcited by 285
  5. 2022MixFormer: End-to-End Tracking with Iterative Mixed Attentioncited by 281
  6. 2015Learning Multi-Domain Convolutional Neural Networks for Visual Trackingcited by 209
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  8. 2017Need for Speed: A Benchmark for Higher Frame Rate Object Trackingcited by 137
  9. 2020MOTChallenge: A Benchmark for Single-Camera Multiple Target Trackingcited by 136
  10. 2021Learning Target Candidate Association to Keep Track of What Not to Trackcited by 131
  11. 2022Transforming Model Prediction for Trackingcited by 117
  12. 2016Learning to Track at 100 FPS with Deep Regression Networkscited by 89
  13. 2020High-Performance Long-Term Tracking with Meta-Updatercited by 80
  14. 2022SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videoscited by 80
  15. 2018Learning Monocular 3D Human Pose Estimation from Multi-view Imagescited by 70
  16. 2020CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wildcited by 65
  17. 2019GlobalTrack: A Simple and Strong Baseline for Long-term Trackingcited by 57
  18. 2016Am I a Baller? Basketball Performance Assessment from First-Person Videoscited by 40
  19. 2021FEAR: Fast, Efficient, Accurate and Robust Visual Trackercited by 38
  20. 2019'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Trackingcited by 34
  21. 2022Semi-Supervised Training to Improve Player and Ball Detection in Soccercited by 25
  22. 2022Visual Object Tracking in First Person Visioncited by 25
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  24. 2021Is First Person Vision Challenging for Object Tracking?cited by 21
  25. 2020Transparent Object Tracking Benchmarkcited by 19
  26. 2022Global Instance Tracking: Locating Target More Like Humanscited by 18
  27. 2021Contrastive Learning for Sports Video: Unsupervised Player Classificationcited by 17
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  31. 2021Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillationcited by 9
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  33. 2019Motion Capture from Pan-Tilt Cameras with Unknown Orientationcited by 6
  34. 2021Puck localization and multi-task event recognition in broadcast hockey videoscited by 6
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50 most cited of 53 All 53 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 1.

6 papers.

  1. 2025ProfVLM: A lightweight video-language model for multi-view proficiency estimationcited by 4
  2. 2025SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contextscited by 1
  3. 2025Is Tracking really more challenging in First Person Egocentric Vision?cited by 1
  4. 2025Enhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion -- SkiTB Visual Tracking Challenge 2025cited by 0
  5. 2025Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025cited by 0
  6. 2026eSkiTB: A Synthetic Event-based Dataset for Tracking Skierscited by 0