Video-Based Ski Jump Style Scoring from Pose Trajectory

Author:

Stepec Dejan1,Skocaj Danijel1

Affiliation:

1. University of Ljubljana,Faculty of Computer and Information Science,Ljubljana,Slovenia

Publisher

IEEE

Reference22 articles.

1. Mobilenets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv preprint arXiv 1704 04861,2017

2. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation

3. Skeleton-based action recognition with convolutional neural networks;li;2017 IEEE International Conference on Multi-media & Expo Workshops (ICMEW),2017

4. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,2014

5. Estimation of Joint Forces and Moments for the In-Run and Take-Off in Ski Jumping Based on Measurements with Wearable Inertial Sensors

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1. Ski Pose Estimation;2024 IEEE International Workshop on Sport, Technology and Research (STAR);2024-07-08

2. Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing;Computer Vision and Image Understanding;2024-06

3. Estimation of mitt movement trajectory in catcher framing from baseball video;International Workshop on Advanced Imaging Technology (IWAIT) 2024;2024-05-02

4. Tracking Skiers from the Top to the Bottom;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Visualizing Skiers' Trajectories in Monocular Videos;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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