Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/avijit9/awesome-computer-vision-in-sports

A comprehensive list of papers on computer vision in sports
https://github.com/avijit9/awesome-computer-vision-in-sports

List: awesome-computer-vision-in-sports

Last synced: 16 days ago
JSON representation

A comprehensive list of papers on computer vision in sports

Awesome Lists containing this project

README 

        
[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

# awesome-computer-vision-in-sports



## Papers by the year of publications



### 2024

- SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap, CVPRW'24 [[Paper]](https://arxiv.org/abs/2404.11335)



### 2023

- Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking, ACM MMSports'23 [[Paper]](https://arxiv.org/html/2401.09942v1)



### 2022



- SoccerNet 2022 Challenges Results, ACM MMSports'22 [[Paper]](https://arxiv.org/abs/2210.02365)

- DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations, ACM MMSports'22 [[Paper]](https://arxiv.org/abs/2208.08190)



### 2021



- LoL-V2T: Large-Scale Esports Video Description Dataset, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Tanaka_LoL-V2T_Large-Scale_Esports_Video_Description_Dataset_CVPRW_2021_paper.pdf)

- Contrastive Learning for Sports Video: Unsupervised Player Classification, CVPRW'21  [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Koshkina_Contrastive_Learning_for_Sports_Video_Unsupervised_Player_Classification_CVPRW_2021_paper.pdf)

- Automated Tackle Injury Risk Assessment in Contact-Based Sports - A Rugby Union Example, CVPRW'21  [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Martin_Automated_Tackle_Injury_Risk_Assessment_in_Contact-Based_Sports_-_A_CVPRW_2021_paper.pdf)

- Toward Improving the Visual Characterization of Sport Activities With Abstracted Scene Graphs, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Rahimi_Toward_Improving_the_Visual_Characterization_of_Sport_Activities_With_Abstracted_CVPRW_2021_paper.pdf)

- Detecting and Matching Related Objects With One Proposal Multiple Predictions, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Liu_Detecting_and_Matching_Related_Objects_With_One_Proposal_Multiple_Predictions_CVPRW_2021_paper.pdf)

- SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Deliege_SoccerNet-v2_A_Dataset_and_Benchmarks_for_Holistic_Understanding_of_Broadcast_CVPRW_2021_paper.pdf)

- Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Kulkarni_Table_Tennis_Stroke_Recognition_Using_Two-Dimensional_Human_Pose_Estimation_CVPRW_2021_paper.pdf)

- Puck Localization and Multi-Task Event Recognition in Broadcast Hockey Videos, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Giancola_Temporally-Aware_Feature_Pooling_for_Action_Spotting_in_Soccer_Broadcasts_CVPRW_2021_paper.pdf)

- Automatic Play Segmentation of Hockey Videos, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Pidaparthy_Automatic_Play_Segmentation_of_Hockey_Videos_CVPRW_2021_paper.pdf)

- DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/McNally_DeepDarts_Modeling_Keypoints_as_Objects_for_Automatic_Scorekeeping_in_Darts_CVPRW_2021_paper.pdf)

- Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of Their Representations for Action Spotting, CVPRW'21 [[Paper]](https://openaccess.thecvf.com/content/CVPR2021W/CVSports/papers/Cioppa_Camera_Calibration_and_Player_Localization_in_SoccerNet-v2_and_Investigation_of_CVPRW_2021_paper.pdf)



### 2020



- Actor-Transformers for Group Activity Recognition, CVPR'20 [[Paper]](http://isis-data.science.uva.nl/cgmsnoek/pub/gavrilyuk-transformers-cvpr2020.pdf)



- Progressive Relation Learning for Group Activity Recognition, CVPR'20 [[Paper]](https://arxiv.org/pdf/1908.02948.pdf)



- Group Activity Detection from Trajectory and Video Data in Soccer, CVPRW'20 [[Paper]](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w53/Sanford_Group_Activity_Detection_From_Trajectory_and_Video_Data_in_Soccer_CVPRW_2020_paper.pdf)



- FALCONS: FAst Learner-grader for CONtorted poses in Sports, CVPRW'20 [[Paper]](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w53/Nekoui_FALCONS_FAst_Learner-Grader_for_CONtorted_Poses_in_Sports_CVPRW_2020_paper.pdf)



- As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition, CVPRW'20 [[Paper]](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w53/Quiroga_As_Seen_on_TV_Automatic_Basketball_Video_Production_Using_Gaussian-Based_CVPRW_2020_paper.pdf)



- Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings, CVPRW'20 [[Paper]](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w53/Einfalt_Decoupling_Video_and_Human_Motion_Towards_Practical_Event_Detection_in_CVPRW_2020_paper.pdf)



- Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis, CVPRW'20 [[Paper]](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w53/von_Braun_Utilizing_Mask_R-CNN_for_Waterline_Detection_in_Canoe_Sprint_Video_CVPRW_2020_paper.pdf)



- TTNet: Real-time temporal and spatial video analysis of table tennis, CVPRW'20 [[Paper]](https://arxiv.org/pdf/2004.09927.pdf)



### 2019



- Learning Actor Relation Graphs for Group Activity Recognition, CVPR'19 [[Paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Learning_Actor_Relation_Graphs_for_Group_Activity_Recognition_CVPR_2019_paper.pdf)



### 2018



- Soccer on Your Tabletop, CVPR'18 [[Paper]](https://grail.cs.washington.edu/projects/soccer/soccer_on_your_tabletop.pdf)



- Egocentric Basketball Motion Planning From a Single First-Person Image, CVPR'18 [[Paper]](https://arxiv.org/pdf/1803.01413)



-  Towards Structured Analysis of Broadcast Badminton Videos, WACV'18 [[Paper]](http://cvit.iiit.ac.in/images/ConferencePapers/2018/badminton_analytics.pdf)



- Fine-grained Activity Recognition in Baseball Videos, CVPRW'18 [[Paper]](https://arxiv.org/pdf/1804.03247.pdf)



- Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders, ECCV'18 [[Paper]](https://openaccess.thecvf.com/content_ECCV_2018/papers/Panna_Felsen_Where_Will_They_ECCV_2018_paper.pdf)



- Fine-grained Video Captioning for Sports Narrative, ECCV'18 [[Paper]](https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Fine-Grained_Video_Captioning_CVPR_2018_paper.pdf)



### 2017



- What will Happen Next? Forecasting Player Moves in Sports Videos, ICCV'17 [[Paper]](http://openaccess.thecvf.com/content_ICCV_2017/papers/Felsen_What_Will_Happen_ICCV_2017_paper.pdf)



- Not all passes are created equal: Objectively measuring the risk and reward of passes in soccer from tracking data, SIGKDD'17 [[Paper]](https://dl.acm.org/citation.cfm?id=3098051)



- SmartTennisTV: An automatic indexing system for tennis, NCVPRIPG'17 [[Paper]](https://researchweb.iiit.ac.in/~anurag.ghosh/static/smarttennistv-automatic-indexing.pdf)



- Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition, CVPR'17 [[Paper]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Bagautdinov_Social_Scene_Understanding_CVPR_2017_paper.pdf)



- Coordinated Multi-Agent Imitation Learning, ICML'17 [[Paper]](http://proceedings.mlr.press/v70/le17a/le17a.pdf)



### 2016



- Chalkboarding: A new spatiotemporal query paradigm for sports play retrieval, ACM IUI'16 [[Paper]](https://dl.acm.org/citation.cfm?id=2856772)



- What players do with the ball: a physically constrained interaction modeling, CVPR'16 [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Maksai_What_Players_Do_CVPR_2016_paper.pdf)



- Generating long-term trajectories using deep hierarchical networks, NIPS'16 [[Paper]](http://papers.nips.cc/paper/6520-generating-long-term-trajectories-using-deep-hierarchical-networks.pdf)



- Detecting Events and Key Actors in Multi-Person Videos, CVPR'16 [[Paper]](http://openaccess.thecvf.com/content_cvpr_2016/papers/Ramanathan_Detecting_Events_and_CVPR_2016_paper.pdf)



### 2015



- Mimicking human camera operators, WACV'15 [[Paper]](https://pdfs.semanticscholar.org/e73b/4b7c48a4aeca81ec132e9e147dc19d103ded.pdf)



- Quality vs Quantity”- Improved Shot Prediction in Soccer using Strategic Features from Spatiotemporal Data-Paper, MIT Sloan Sports Analytics Conference'15 [[Paper]](https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150308192147/Quality-vs-Quantity%E2%80%9D-Improved-Shot-Prediction-in-Soccer-using-Strategic-Features-from-Spatiotemporal-Data-Paper.pdf)



### 2014



- How to get an open shot: Analyzing team movement in basketball using tracking data, MIT SLOAN'14 [[Paper]](https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20141125014436/How-to-Get-an-Open-Shot-Analyzing-Team-Movement-in-Basketball-using-Tracking-Data-Paper.pdf)



### 2013



- Take your eyes off the ball: Improving ball-tracking by focusing on team play, CVIU'13 [[Paper]](https://infoscience.epfl.ch/record/185107/files/top_infosci_1.pdf)



- Detecting and tracking sports players with random forests and context-conditioned motion models, CVPR'13 [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Liu_Tracking_Sports_Players_2013_CVPR_paper.pdf)



- Representing and discovering adversarial team behaviors using player roles, CVPR'13 [[Paper]](http://openaccess.thecvf.com/content_cvpr_2013/papers/Lucey_Representing_and_Discovering_2013_CVPR_paper.pdf)



- Recognising team activities from noisy data, CVPRW'13 [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W19/papers/Bialkowski_Recognising_Team_Activities_2013_CVPR_paper.pdf)



### 2012



- Point-less calibration: Camera parameters from gradient-based alignment to edge images, WACV'12 [[Paper]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6163012)



## Datasets Available



[1] Volleyball Dataset [[Link]](https://github.com/mostafa-saad/deep-activity-rec)