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Recent developments in video analysis of sports and computer visiontechniques have achieved significant improvements to enable a variety ofcritical operations. To provide enhanced information, such as detailed complexanalysis in sports like soccer, basketball, cricket, badminton, etc., studieshave focused mainly on computer vision techniques employed to carry outdifferent tasks. This paper presents a comprehensive review of sports videoanalysis for various applications high-level analysis such as detection andclassification of players, tracking player or ball in sports and predicting thetrajectories of player or ball, recognizing the teams strategies, classifyingvarious events in sports. The paper further discusses published works in avariety of application-specific tasks related to sports and the presentresearchers views regarding them. Since there is a wide research scope insports for deploying computer vision techniques in various sports, some of thepublicly available datasets related to a particular sport have been provided.This work reviews a detailed discussion on some of the artificialintelligence(AI)applications in sports vision, GPU-based work stations, andembedded platforms. Finally, this review identifies the research directions,probable challenges, and future trends in the area of visual recognition insports.

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