  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.
