Table 1.

Related work regarding applications of machine learning in sports.

Year	Title and Reference	Application
2020	Multi-Player Tracking for Multi-View Sports Videos with Improved K-Shortest Path Algorithm [31]	Basketball
2020	Real-Time Possessing Relationship Detection for Sports Analytics [32]	Frisbee & Football (soccer)
2020	Study on Sports Volleyball Tracking Technology Based on Image Processing and 3D Space Matching [39]	Volleyball
2020	Detection of Ice Hockey Players and Teams via a Two-Phase Cascaded CNN Model [40]	Ice Hockey
2020	Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis [41]	Canoe
2020	FISHnet: Learning to Segment the Silhouettes of Swimmers [42]	Swimming
2020	Human Pose Estimation based Speed Detection System for Running on Treadmill [34]	Running
2019	Analyzing Basketball Movements and Pass Relationships Using Realtime Object Tracking Techniques Based on Deep Learning [29]	Basketball
2019	A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis [36]	Tennis
2019	YOLO based Intelligent Tracking System for Curling Sport [33]	Curling
2018	Recognition of basketball referee signals from videos using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) [37]	Basketball
2018	Player Pose Analysis in Tennis Video based on Pose Estimation [35]	Tennis
2018	Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions [14]	Handball
2017	Wearable Motion Sensor Based Analysis of Swing Sports [38]	Tennis, Badminton, Squash
2012	Recognizing tactic patterns in broadcast basketball video using player trajectory [43]	Basketball