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Related papers: Video-based Analysis of Soccer Matches

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Soccer videos can serve as a perfect research object for video understanding because soccer games are played under well-defined rules while complex and intriguing enough for researchers to study. In this paper, we propose a new soccer video…

Computer Vision and Pattern Recognition · Computer Science 2020-09-09 Yudong Jiang , Kaixu Cui , Leilei Chen , Canjin Wang , Changliang Xu

In many real-world complex systems, the behavior can be observed as a collection of discrete events generated by multiple interacting agents. Analyzing the dynamics of these multi-agent systems, especially team sports, often relies on…

Artificial Intelligence · Computer Science 2025-05-23 Rikuhei Umemoto , Keisuke Fujii

The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extracting those actions is crucial for many sports applications,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Silvio Giancola , Anthony Cioppa , Bernard Ghanem , Marc Van Droogenbroeck

Field detection in team sports is an essential task in sports video analysis. However, collecting large-scale and diverse real-world datasets for training detection models is often cost and time-consuming. Synthetic datasets, which allow…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 HaoBin Qin , Jiale Fang , Keisuke Fujii

This paper employs a Bayesian methodology to predict the results of soccer matches in real-time. Using sequential data of various events throughout the match, we utilize a multinomial probit regression in a novel framework to estimate the…

Applications · Statistics 2024-10-17 Chinmay Divekar , Soudeep Deb , Rishideep Roy

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive data capturing all the events generated during a match (e.g.,…

Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed and evaluated over the years for visual comparison. Similarly, common workflows…

Human-Computer Interaction · Computer Science 2024-02-27 David Borland , Arran Zeyu Wang , David Gotz

In the domain of the Soccer simulation 2D league of the RoboCup project, appropriate player positioning against a given opponent team is an important factor of soccer team performance. This work proposes a model which decides the strategy…

Artificial Intelligence · Computer Science 2016-06-06 Jordan Henrio , Thomas Henn , Tomoharu Nakashima , Hidehisa Akiyama

Visualisation is an effective way to facilitate the analysis and understanding of multivariate data. In the context of multi-objective optimisation, comparing to quantitative performance metrics, visualisation is, in principle, able to…

Neural and Evolutionary Computing · Computer Science 2019-03-06 Huiru Gao , Haifeng Nie , Ke Li

We present a new approach for identifying situations and behaviours, which we call "moves", from soccer games in the 2D simulation league. Being able to identify key situations and behaviours are useful capabilities for analysing soccer…

Machine Learning · Computer Science 2018-09-13 Olivia Michael , Oliver Obst , Falk Schmidsberger , Frieder Stolzenburg

We investigated the temporal distribution of goals in soccer using event-level data from 3,433 matches across 21 leagues and competitions. Contrary to the prevailing notion of randomness, we found that the probability of a goal being scored…

Tracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low-resolution images, due to the small size of the ball, its speed that creates motion blur, and its often being occluded by…

Computer Vision and Pattern Recognition · Computer Science 2015-12-02 Andrii Maksai , Xinchao Wang , Pascal Fua

Motion prediction in soccer involves capturing complex dynamics from player and ball interactions. We present FootBots, an encoder-decoder transformer-based architecture addressing motion prediction and conditioned motion prediction through…

Computer Vision and Pattern Recognition · Computer Science 2024-07-01 Guillem Capellera , Luis Ferraz , Antonio Rubio , Antonio Agudo , Francesc Moreno-Noguer

Technology has had an unquestionable impact on the way people watch sports. Along with this technological evolution has come a higher standard to ensure a good viewing experience for the casual sports fan. It can be argued that the…

Applications · Statistics 2011-10-12 Gagan Sidhu

The analysis of high-intensity runs (or sprints) in soccer has long been a topic of interest for sports science researchers and practitioners. In particular, recent studies suggested contextualizing sprints based on their tactical purposes…

Machine Learning · Computer Science 2024-06-25 Hyunsung Kim , Gun-Hee Joe , Jinsung Yoon , Sang-Ki Ko

In many sports, it is commonly believed that the home team has an advantage over the visiting team, known as the home field advantage. Yet its causal effect on team performance is largely unknown. In this paper, we propose a novel causal…

Applications · Statistics 2025-08-18 Chen Wang , Katherine Price , Hengrui Cai , Weining Shen , Zhanrui Cai , Guanyu Hu

Sports analytics -- broadly defined as the pursuit of improvement in athletic performance through the analysis of data -- has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this…

Applications · Statistics 2023-01-11 Benjamin S. Baumer , Gregory J. Matthews , Quang Nguyen

Offside detection in soccer has emerged as one of the most important decisions with an average of 50 offside decisions every game. False detections and rash calls adversely affect game conditions and in many cases drastically change the…

Computer Vision and Pattern Recognition · Computer Science 2018-04-19 Karthik Muthuraman , Pranav Joshi , Suraj Kiran Raman

Videos are an accessible form of media for analyzing sports postures and providing feedback to athletes. Existing sport-specific systems embed bespoke human pose attributes and thus can be hard to scale for new attributes, especially for…

Human-Computer Interaction · Computer Science 2023-02-28 Jingyuan Liu , Nazmus Saquib , Zhutian Chen , Rubaiat Habib Kazi , Li-Yi Wei , Hongbo Fu , Chiew-Lan Tai

Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every moment of a soccer match is a thrill. Yet, with so many games…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Hassan Mkhallati , Anthony Cioppa , Silvio Giancola , Bernard Ghanem , Marc Van Droogenbroeck
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