A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
Banoth Thulasya Naik, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde
TL;DR
This comprehensive review covers recent advances, challenges, and future research directions in computer vision applications for sports video analysis, including detection, tracking, and event recognition across various sports.
Contribution
It provides an extensive overview of techniques, datasets, and AI applications in sports vision, highlighting open issues and future trends in the field.
Findings
Survey of current computer vision techniques in sports
Discussion of datasets and AI applications in sports
Identification of challenges and future research directions
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.