Visualizing Skiers' Trajectories in Monocular Videos
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Abstract (arXiv)
Trajectories are fundamental to winning in alpine skiing. Tools enabling the analysis of such curves can enhance the training activity and enrich broadcasting content. In this paper, we propose SkiTraVis, an algorithm to visualize the sequence of points traversed by a skier during its performance. SkiTraVis works on monocular videos and constitutes a pipeline of a visual tracker to model the skier's motion and of a frame correspondence module to estimate the camera's motion. The separation of the two motions enables the visualization of the trajectory according to the moving camera's perspective. We performed experiments on videos of real-world professional competitions to quantify the visualization error, the computational efficiency, as well as the applicability. Overall, the results achieved demonstrate the potential of our solution for broadcasting media enhancement and coach assistance.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 29 of its 69 references that are in the map. First posted on arXiv 6 Apr 2023.
Builds on
29 of 69 references.
References · 29
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
- 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,415
- 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,443
- 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,320
- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
- 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 984
- 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 446
- 2018LaSOT: A High-quality Benchmark for Large-scale Single Object Trackingcited by 429
- 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 350
- 2019Learning Discriminative Model Prediction for Trackingcited by 344
- 2019Kornia: an Open Source Differentiable Computer Vision Library for PyTorchcited by 232
17 more
- 2022AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Timecited by 200
- 2021TokenPose: Learning Keypoint Tokens for Human Pose Estimationcited by 107
- 2018Learning Monocular 3D Human Pose Estimation from Multi-view Imagescited by 70
- 2020CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wildcited by 65
- 2021ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Posescited by 35
- 2022Visual Object Tracking in First Person Visioncited by 25
- 2021Player Tracking and Identification in Ice Hockeycited by 22
- 2021Is First Person Vision Challenging for Object Tracking?cited by 21
- 2015What Players do with the Ball: A Physically Constrained Interaction Modelingcited by 17
- 2019Intra-frame Object Tracking by Deblattingcited by 11
- 2021Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillationcited by 9
- 2019Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstratorcited by 8
- 2019Motion Capture from Pan-Tilt Cameras with Unknown Orientationcited by 6
- 2022Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Maskscited by 6
- 2021Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations -- combining input rotations and a kinematic modelcited by 3
- 2021Spatiotemporal Motion Synchronization for Snowboard Big Aircited by 2
- 2022CoCoLoT: Combining Complementary Trackers in Long-Term Visual Trackingcited by 2
Built on by
Citing papers per year: 2023: 1.
1 paper.
- 2023Tracking Skiers from the Top to the Bottomcited by 6
- 2023Tracking Skiers from the Top to the Bottom15 Dec 2023