ENABLING AUTOMATIC SOCCER ANALYSIS THROW WI-FI REAL TIME TRACKING (original) (raw)

SoccerEye: A software solution to observe and record behaviours in sport settings

Open Sports Sciences Journal, 2013

In soccer, the need for direct observation of tactical behaviour has led to continuous technological advances in motion recording software. Here we present SoccerEye, a sports-specific software tool to observe and record the behaviour of soccer players in their natural setting and in real time. The software was written in Visual Basic Express 2010 and includes the following features: computerised coding, improved-quality recording, episodic sampling, the measurement of time, and diachronic analysis. Its configuration is well defined but allows for incorporation of ad hoc categories. Data can be exported in multiple generic formats, including the SDIS format for the analysis of interaction sequences with GSEQ software. However, by considering time and sequential decisions, SoccerEye itself tracks activity profiles and the dynamics of play. The greatest advantage of SoccerEye is the possibility to conduct diachronic analysis, which regards an event or multi event sequence in terms of change over time. This type of analysis takes into account the behaviour of a player and his or her team when facing the opponent, the space (pitch area) and time (starting time and duration) of each event, and other factors such as match status, match time, and competition stage. SoccerEye is a freeaccess user-friendly application that can be used to observe a single player or an entire team while controlling over the environment in which the observation takes place. This tool will hopefully contribute to the better understanding of the dynamics of soccer play.

A Wireless System for Sport Assessment

2020 IEEE International Conference on Smart Computing (SMARTCOMP), 2020

In the context of sport assessment, the evaluation and monitoring of the referees decisions is of interest for several sports in order to avoid disputes and assist the referees in their activity. Some current solutions are based on video recording, third referee, etc. In this paper, a new wireless wearable system, result of the Italian research project REC-VISIO, is described suitable to assess the referees actions when they are on the move. The system is able to collect the referee staff visual perspective of a sport match, whose subjective is recorded, preprocessed and sent by a wireless network to a sideline workstation for final stabilization. The system architecture design and implementation are described along with the experimentation on the field, considering as use case a football match. The experimentation has shown the successful integration of all the different system components, where the cooperation of sensor-based subsystem, processing unit, and communication subsystem...

Combining Video and Player Telemetry for Evidence-Based Decisions in Soccer

Technology is changing how soccer clubs train and interact with their supporters. Systems that provide ac-quisition and visualization of low-level player telemetry, like distance covered and speed, are already being widely adopted. A key observation is that such data when correlated with actual in-game video footage is a powerful tool for evidence-based decisions. As data volume and complexity grow, efficient tools for auto-mated high-precision retrieval become essential. This paper describes the unique combination of a radio-based sensor platform and several custom video retrieval systems in operational use at Tromsø Idrettslag (TIL), a Norwegian premier league soccer club. The systems have been developed using an experimental computer-science method where several prototypes were built and deployed for evaluation in close collaboration with the intended users. Although our method of computer-system prototyping has not yielded commercial quality products, it has enabled us to constr...

Video Analytics in Elite Soccer: A Distributed Computing Perspective

arXiv (Cornell University), 2022

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA's 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing and its importance in video analytics and propose a future research perspective.

Real-time data acquisition and performance analysis in sports

The continuous advances of wireless (sensor) and mobile technologies enable new opportunities in the development of sports applications. Sensor devices are getting smaller, increasingly cable-free and smarter, enabling efficient methods for the acquisition of performance data. The diversity, powerfulness, networking ability and handy design of today's mobile devices, on the other hand, allow the implementation of effective monitoring and instant intervening routines. The paper presents a generic realization of an easy adaptable sports framework, integrating innovative online analysis and real-time feedback techniques.

Computerized real-time analysis of football games

IEEE Pervasive Computing, 2005

Using a real-time positioning system, the FIPM game analysis system can acquire action models, infer action-selection criteria, and identify player and team strengths and weaknesses.

A computer vision based web application for tracking soccer players

2014

Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport's world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game.

Player Tracker - a tool to analyze sport players using RFID

2010

A work in progress of a tool designed to help sports coaches to analyze their players using an RFID technology connected to a 3-layer software is described in this paper. A few ranging techniques available in conventional RFID systems were studied to best fit this application scenario. Together with the RFID equipments, there is a 3-layer system managing all the data. The software bottom layer is responsible for the low-level communication between the software and the hardware. The middle layer is the system engine where all the calculation is performed. Finally, the top layer is the software part responsible for showing reports and the player analyzed. The system has 2 tracking modes, one for 2D player location in the field, and a 3D mode to capture players' movement in small area sports. It has 2 report modes also, one for real-time report displaying each player's actual location in the field; and the other to present reports with statistics of the player such as distance covered, a heat map of the field showing where the player is at a time interval and number of sprints.

Open source technologies involved in constructing a web-based football information system

2013

The current information systems and match analysis software associated to professional football output a huge amount of statistics. Many football professionals are particularly interested in real time information about the tactical plan occurring during the match, and the relations between that information and what was prepared in the training sessions. It is fundamental to have on the bench, and on-the-fly, the most relevant information each time they have to take a decision. In this paper, we present a set of open source technologies involved in building a multi-platform web based integrated football information system, supported in three main modules: user interfaces, databases, and the tactical plan detection and classification. We show that the selected technologies are suitable for those modules, allowing field occurrences to trigger meaningful information.

Quantified Soccer Using Positional Data: A Case Study

Frontiers in physiology, 2018

Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during practices and more recently also in matches after FIFA's 2015 approval of wearables in electronic performance and tracking systems. Some clubs have even started collecting data from players outside of the sport arenas. Further algorithmic analysis of these data might provide vital insights for individual training personalization and injury prevention, and also provide a foundation for evidence-based decisions for team performance improvements. This paper presents our experiences from using a detailed radio-based wearable positioning data system in an elite soccer club. We demonstrate how such a system can detect and find anomalies, trends, and insights vital for individual athletic and ...