mlsanityData to 7 Oct 2026

MonoTrack: Shuttle trajectory reconstruction from monocular badminton video

arXiv 2204.01899 ↗First posted 4 Apr 2022cs.CV cs.LG cs.MMcited by 24

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Abstract (arXiv)

Trajectory estimation is a fundamental component of racket sport analytics, as the trajectory contains information not only about the winning and losing of each point, but also how it was won or lost. In sports such as badminton, players benefit from knowing the full 3D trajectory, as the height of shuttlecock or ball provides valuable tactical information. Unfortunately, 3D reconstruction is a notoriously hard problem, and standard trajectory estimators can only track 2D pixel coordinates. In this work, we present the first complete end-to-end system for the extraction and segmentation of 3D shuttle trajectories from monocular badminton videos. Our system integrates badminton domain knowledge such as court dimension, shot placement, physical laws of motion, along with vision-based features such as player poses and shuttle tracking. We find that significant engineering efforts and model improvements are needed to make the overall system robust, and as a by-product of our work, improve state-of-the-art results on court recognition, 2D trajectory estimation, and hit recognition.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 11 of its 37 references that are in the map. First posted on arXiv 4 Apr 2022.

Builds on

11 of 37 references.

References · 11

  1. 2015Distilling the Knowledge in a Neural Networkcited by 10,076
  2. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  3. 2017Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependenciescited by 76
  4. 2018Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentationcited by 76
  5. 2019A Context-Aware Loss Function for Action Spotting in Soccer Videoscited by 56
  6. 2017Detect-and-Track: Efficient Pose Estimation in Videoscited by 51
  7. 2019TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applicationscited by 33
  8. 2020Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Playerscited by 30
  9. 2021Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognitioncited by 29
  10. 2021Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimationcited by 23
  11. 2019SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pongcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 8; 2024: 2; 2025: 9; 2026: 4.

24 papers.

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  1. 2023SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentariescited by 57
  2. 2023Towards Active Learning for Action Spotting in Association Football Videoscited by 14
  3. 2023A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decisioncited by 11
  4. 2023Widely Applicable Strong Baseline for Sports Ball Detection and Trackingcited by 9
  5. 2023All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletescited by 8
  6. 20243D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation Approachcited by 7
  7. 2022Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Maskscited by 6
  8. 2025TT3D: Table Tennis 3D Reconstructioncited by 5
  9. 2025Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfercited by 4
  10. 2023Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motioncited by 3
  11. 2025Deep Learning for Sports Video Event Detection: Tasks, Datasets, Methods, and Challengescited by 3
  12. 2025Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimationcited by 3
12 more
  1. 2024OSL-ActionSpotting: A Unified Library for Action Spotting in Sports Videoscited by 2
  2. 2025BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sportscited by 2
  3. 2025TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videoscited by 2
  4. 2023Automated Hit-frame Detection for Badminton Match Analysiscited by 1
  5. 2023ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badmintoncited by 1
  6. 2025BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Trackingcited by 1
  7. 2026TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videoscited by 1
  8. 2025VIFSS: View-Invariant and Figure Skating-Specific Pose Representation Learning for Temporal Action Segmentationcited by 0
  9. 2025A Real-Time, Vision-Based System for Badminton Smash Speed Estimation on Mobile Devicescited by 0
  10. 2026TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classificationcited by 0
  11. 2026Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localizationcited by 0
  12. 2026ShuttleArena: Interpretable Self-Play in Physics-Based Badmintoncited by 0