Browsing by Author "Vilas, Tiago"
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- A computer vision based web application for tracking soccer playersPublication . Rodrigues, J. M. F.; Cardoso, Pedro; Vilas, Tiago; Mendes Da Silva, Bruno; Rodrigues, Pedro; Belguinha, António; Gomes, CarlosSoccer 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. © 2014 Springer International Publishing.
- A computer vision based web application for tracking soccer playersPublication . Rodrigues, J. M. F.; Cardoso, Pedro J. S.; Vilas, Tiago; Silva, Bruno; Rodrigues, Pedro; Belguinha, António; Gomes, CarlosSoccer 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.
- Detection, classification and localisation of football players and ball from handycam videosPublication . Vilas, Tiago; Rodrigues, J. M. F.; Cardoso, Pedro J. S.The current performance requirements in football make imperative the use of new technologies for game observation and analysis, providing detailed information about the team's actions. This paper presents in resume an algorithm to collect information from Handycam videos, namely, the football pitch, player and ball detection, player classification within the team, the tracking and localisation of players and ball, being the main contribution the determination of the exact localisation of players and ball in the pitch.
- Open source technologies involved in constructing a web-based football information systemPublication . Rodrigues, Pedro; Belguinha, António; Gomes, Carlos; Cardoso, Pedro J. S.; Vilas, Tiago; Mestre, Renato; Rodrigues, J. M. F.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.