Kinect Based Virtual Referee For Table Tennis Game: TTV (Table Tennis Var System)

Today’s game quality is more affected by referee decisions. The history shows that the error in a referee’s decision may change the whole result of a game. It seems to rely on just the referee’s decision and always combines with the errors. This fact is even bolded in important games like the World Cup or Olympics which may cause the rank of the team, players, etc. Recently, to solve this problem, the new concept of VAR (video assistant referee) has been introduced and had also been hired during the football World Cup match 2018. Even some methods like video check-ins in volleyball games or bypass signal in Swordsmanship (sword fighting) long back was used. But still, so many demand games are missed. Statistically, almost approximately 8 hundred million people are playing table tennis in the world but due to the ball speed in this game which sometimes increases up to 69.9 miles per hour (112.4931 km/h) which brings the limitation to hire and use the VAR systems. In this research paper, a novel VAR system (TTV system) based on Kinect and Raspberry pi has been presented. The main aspect of this design is to have a portable system which can be used for any type of LCD system and help the referees to count the ball better during the game to have a more qualified game. In the proposed TTV algorithm, the two methods of contour and depth are merged to have better ball detection. The experiment results in showing the proposed algorithm and systems success in real game and its ability to implement in the real game which has not been reported before.

[1]  Tarek Zayed,et al.  Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines , 2018 .

[2]  Zubair Khan,et al.  Automatic detection and counting of circular shaped overlapped objects using circular hough transform and contour detection , 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

[3]  Noel E. O'Connor,et al.  Game, shot and match: Event-based indexing of tennis , 2011, 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI).

[4]  Bin Zhang,et al.  Ball Hit Detection in Table Tennis Games Based on Audio Analysis , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[5]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Jack Chin Pang Cheng,et al.  Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques , 2018, Automation in Construction.

[7]  Andrew M Lane,et al.  Soccer Referee Decision-Making: 'shall I Blow the Whistle?'. , 2006, Journal of sports science & medicine.

[8]  L. M. Kamarudin,et al.  Method to convert Kinect's 3D depth data to a 2D map for indoor SLAM , 2013, 2013 IEEE 9th International Colloquium on Signal Processing and its Applications.

[9]  Caixia Deng,et al.  An Improved Canny Edge Detection Algorithm , 2015 .

[10]  Patrick Kam Cheung Wong Developing an Intelligent Table Tennis Umpiring System: Identifying the Ball from the Scene , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

[11]  M. Anshel,et al.  Sources of acute stress in american and australian basketball referees , 1995 .

[12]  Shuai Li,et al.  Portable Image Based Moon Date Detection and Declaration: System and Algorithm Code Sign , 2019, 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).