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A new approach in team sports analysis consists in studying positioning and movements of players during the game in relation to team performance. State of the art tracking systems produce spatio-temporal traces of players that have…

Applications · Statistics 2017-07-06 Rodolfo Metulini , Marica Manisera , Paola Zuccolotto

In this work, the novel task of detecting and classifying table tennis strokes solely using the ball trajectory has been explored. A single camera setup positioned in the umpire's view has been employed to procure a dataset consisting of…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Kaustubh Milind Kulkarni , Rohan S Jamadagni , Jeffrey Aaron Paul , Sucheth Shenoy

This paper considers the impact of unforced errors in sport. Although the proposed methods are applicable to various sports, we demonstrate the approach in the context of professional tennis. The value of the approach is that we can provide…

Applications · Statistics 2024-07-30 Hashan Peiris , Nirodha Epasinghege Dona , Tim Swartz

The increasing use of artificial intelligence (AI) technology in turn-based sports, such as badminton, has sparked significant interest in evaluating strategies through the analysis of match video data. Predicting future shots based on past…

Artificial Intelligence · Computer Science 2024-04-09 Minwoo Seong , Jeongseok Oh , SeungJun Kim

This paper presents CourtMotion, a spatiotemporal modeling framework for analyzing and predicting game events and plays as they develop in professional basketball. Anticipating basketball events requires understanding both physical motion…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Omer Sela , Michael Chertok , Lior Wolf

Performance analyses based on videos are commonly used by coaches of athletes in various sports disciplines. In individual sports, these analyses mainly comprise the body posture. This paper focuses on the disciplines of triple, high, and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Katja Ludwig , Julian Lorenz , Robin Schön , Rainer Lienhart

The sports betting industry has experienced rapid growth, driven largely by technological advancements and the proliferation of online platforms. Machine learning (ML) has played a pivotal role in the transformation of this sector by…

Machine Learning · Computer Science 2024-10-30 René Manassé Galekwa , Jean Marie Tshimula , Etienne Gael Tajeuna , Kyamakya Kyandoghere

From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based…

Physics and Society · Physics 2012-12-07 Shun Motegi , Naoki Masuda

This paper is focalized on the limit application of judo throws, by tactics at first contact time, with some astonishing information at a first seeing, but biomechanically grounded, not often applied or because against the sound common…

Popular Physics · Physics 2014-11-12 Attilio Sacripanti

Teaching and Learning process of an educational institution needs to be monitored and effectively analysed for enhancement. Teaching and Learning is a vital element for an educational institution. It is also one of the criteria set by…

Systems and Control · Computer Science 2017-06-13 Ms. Ganesan Kavitha , Dr. Lawrance Raj

Wearable devices have the potential to enhance sports performance, yet they are not fulfilling this promise. Our previous studies with 6 professional tennis coaches and 20 players indicate that this could be due the lack of psychological or…

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…

Computer Vision and Pattern Recognition · Computer Science 2022-05-02 Banoth Thulasya Naik , Mohammad Farukh Hashmi , Neeraj Dhanraj Bokde

We introduce a novel method for collecting table tennis video data and perform stroke detection and classification. A diverse dataset containing video data of 11 basic strokes obtained from 14 professional table tennis players, summing up…

Computer Vision and Pattern Recognition · Computer Science 2021-06-02 Kaustubh Milind Kulkarni , Sucheth Shenoy

Badminton is known as one of the fastest racket sports in the world. Despite doubles matches being more prevalent in international tournaments than singles, previous research has mainly focused on singles due to the challenges in data…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Seungheon Baek , Jinhyuk Yun

In the 2023 Wimbledon Gentlemen's final, Carlos Alcaraz defeated Novak Djokovic. This study aims to predict athletes' performance through five key aspects: first, a mul-ti-classification model based on logistic regression was established,…

Applications · Statistics 2024-07-11 Chuangqi Li

Matrix analysis plays a crucial role in the field of control engineering, providing a powerful mathematical framework for the analysis and design of control systems. This research report explores various applications of matrix analysis in…

Optimization and Control · Mathematics 2024-03-22 Si Kheang Moeurn

The map-matching is an essential preprocessing step for most of the trajectory-based applications. Although it has been an active topic for more than two decades and, driven by the emerging applications, is still under development. There is…

Databases · Computer Science 2019-10-30 Pingfu Chao , Yehong Xu , Wen Hua , Xiaofang Zhou

The application of visual tracking to the performance analysis of sports players in dynamic competitions is vital for effective coaching. In doubles matches, coordinated positioning is crucial for maintaining control of the court and…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Ning Ding , Kazuya Takeda , Wenhui Jin , Yingjiu Bei , Keisuke Fujii

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Matthias Eisenmann , Annika Reinke , Vivienn Weru , Minu Dietlinde Tizabi , Fabian Isensee , Tim J. Adler , Sharib Ali , Vincent Andrearczyk , Marc Aubreville , Ujjwal Baid , Spyridon Bakas , Niranjan Balu , Sophia Bano , Jorge Bernal , Sebastian Bodenstedt , Alessandro Casella , Veronika Cheplygina , Marie Daum , Marleen de Bruijne , Adrien Depeursinge , Reuben Dorent , Jan Egger , David G. Ellis , Sandy Engelhardt , Melanie Ganz , Noha Ghatwary , Gabriel Girard , Patrick Godau , Anubha Gupta , Lasse Hansen , Kanako Harada , Mattias Heinrich , Nicholas Heller , Alessa Hering , Arnaud Huaulmé , Pierre Jannin , Ali Emre Kavur , Oldřich Kodym , Michal Kozubek , Jianning Li , Hongwei Li , Jun Ma , Carlos Martín-Isla , Bjoern Menze , Alison Noble , Valentin Oreiller , Nicolas Padoy , Sarthak Pati , Kelly Payette , Tim Rädsch , Jonathan Rafael-Patiño , Vivek Singh Bawa , Stefanie Speidel , Carole H. Sudre , Kimberlin van Wijnen , Martin Wagner , Donglai Wei , Amine Yamlahi , Moi Hoon Yap , Chun Yuan , Maximilian Zenk , Aneeq Zia , David Zimmerer , Dogu Baran Aydogan , Binod Bhattarai , Louise Bloch , Raphael Brüngel , Jihoon Cho , Chanyeol Choi , Qi Dou , Ivan Ezhov , Christoph M. Friedrich , Clifton Fuller , Rebati Raman Gaire , Adrian Galdran , Álvaro García Faura , Maria Grammatikopoulou , SeulGi Hong , Mostafa Jahanifar , Ikbeom Jang , Abdolrahim Kadkhodamohammadi , Inha Kang , Florian Kofler , Satoshi Kondo , Hugo Kuijf , Mingxing Li , Minh Huan Luu , Tomaž Martinčič , Pedro Morais , Mohamed A. Naser , Bruno Oliveira , David Owen , Subeen Pang , Jinah Park , Sung-Hong Park , Szymon Płotka , Elodie Puybareau , Nasir Rajpoot , Kanghyun Ryu , Numan Saeed , Adam Shephard , Pengcheng Shi , Dejan Štepec , Ronast Subedi , Guillaume Tochon , Helena R. Torres , Helene Urien , João L. Vilaça , Kareem Abdul Wahid , Haojie Wang , Jiacheng Wang , Liansheng Wang , Xiyue Wang , Benedikt Wiestler , Marek Wodzinski , Fangfang Xia , Juanying Xie , Zhiwei Xiong , Sen Yang , Yanwu Yang , Zixuan Zhao , Klaus Maier-Hein , Paul F. Jäger , Annette Kopp-Schneider , Lena Maier-Hein

We present a skill analysis with time series image data using data mining methods, focused on table tennis. We do not use body model, but use only hi-speed movies, from which time series data are obtained and analyzed using data mining…

Artificial Intelligence · Computer Science 2014-01-22 Toshiyuki Maeda , Masanori Fujii , Isao Hayashi