mlsanityData to 7 Oct 2026

A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions

arXiv 2203.02281 ↗First posted 3 Mar 2022cs.CV eess.IVcited by 21

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Abstract (arXiv)

Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety of critical operations. To provide enhanced information, such as detailed complex analysis in sports like soccer, basketball, cricket, badminton, etc., studies have focused mainly on computer vision techniques employed to carry out different tasks. This paper presents a comprehensive review of sports video analysis for various applications high-level analysis such as detection and classification of players, tracking player or ball in sports and predicting the trajectories of player or ball, recognizing the teams strategies, classifying various events in sports. The paper further discusses published works in a variety of application-specific tasks related to sports and the present researchers views regarding them. Since there is a wide research scope in sports for deploying computer vision techniques in various sports, some of the publicly available datasets related to a particular sport have been provided. This work reviews a detailed discussion on some of the artificial intelligence(AI)applications in sports vision, GPU-based work stations, and embedded platforms. Finally, this review identifies the research directions, probable challenges, and future trends in the area of visual recognition in sports.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 61 of its 282 references that are in the map. First posted on arXiv 3 Mar 2022.

Builds on

61 of 282 references.

References · 61

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50 most cited of 61 All 61 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 6; 2025: 9; 2026: 4.

21 papers.

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  1. 2024SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimapcited by 34
  2. 2024ASTRA: An Action Spotting TRAnsformer for Soccer Videoscited by 16
  3. 2023Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectivescited by 7
  4. 2025TT3D: Table Tennis 3D Reconstructioncited by 5
  5. 2025SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understandingcited by 4
  6. 2025From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videoscited by 4
  7. 2024FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognitioncited by 3
  8. 2024OSL-ActionSpotting: A Unified Library for Action Spotting in Sports Videoscited by 2
  9. 2025TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videoscited by 2
  10. 2026AdaSpot: Spend Resolution Where It Matters for Precise Event Spottingcited by 2
  11. 2023An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environmentcited by 1
  12. 2024Investigating Event-Based Cameras for Video Frame Interpolation in Sportscited by 1
9 more
  1. 2025Action Valuation in Sports: A Surveycited by 1
  2. 2025BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Trackingcited by 1
  3. 2024PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clipscited by 0
  4. 2025Women Sport Actions Dataset for Visual Classification Using Small Scale Training Datacited by 0
  5. 2025Transforming Football Data into Object-centric Event Logs with Spatial Context Informationcited by 0
  6. 2025Automated Wicket-Taking Delivery Segmentation and Trajectory-Based Dismissal-Zone Analysis in Cricket Videos Using OCR-Guided YOLOv8cited by 0
  7. 2026Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanical Analysis and Motion Modelingcited by 0
  8. 2026SoccerLens: Grounded Soccer Video Understanding Beyond Accuracycited by 0
  9. 2026MS-RFD: Multi-Signal Release Frame Detection in Hammer Throw from Reconstructed 3D Trajectoriescited by 0