Web Application Oriented to the Analysis of Multiple Trajectories in Football Matches Based on Georeferenced Data
| UDC.coleccion | Publicacións UDC | |
| UDC.conferenceTitle | XoveTIC: impulsando el talento científico (8º. 2025. A Coruña) | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.endPage | 286 | |
| UDC.grupoInv | Laboratorio de Bases de Datos (LBD) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.startPage | 279 | |
| dc.contributor.author | Cerviño García, Martín | |
| dc.contributor.author | Seco, Diego | |
| dc.contributor.author | Varela Rodeiro, Tirso | |
| dc.date.accessioned | 2026-09-14T17:46:36Z | |
| dc.date.available | 2026-09-14T17:46:36Z | |
| dc.date.issued | 2025 | |
| dc.description | Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña. | |
| dc.description.abstract | [Abstract] Data analysis has become an essential tool for understanding and optimizing performance in football. Within this context, the study of player trajectories plays a key role in the tactical analysis of the game. This paper presents the development of a system designed to visualize, search and compare player trajectories during a match based on georeferenced data. Implemented in a web application, the system enables users to identify and explore movements at key moments using either static or dynamic visualizations. In addition, it integrates a system that allows the detection of trajectories with movement patterns similar to a given trajectory, which required the design and optimization of an efficient similarity search algorithm. | |
| dc.identifier.citation | Cerviño García, M., Seco, D., & Varela Rodeiro, T. (2026). Web Application Oriented to the Analysis of Multiple Trajectories in Football Matches Based on Georeferenced Data. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 279-286). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c46 | |
| dc.identifier.doi | 10.17979/spu.23.c46 | |
| dc.identifier.isbn | 978-84-9749-925-5 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49230 | |
| dc.language.iso | eng | |
| dc.publisher | Universidade da Coruña, Servizo de Publicacións | |
| dc.relation.uri | https://doi.org/10.17979/spu.23.c46 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Football analytics | |
| dc.subject | Trajectory analysis | |
| dc.subject | Georeferenced data | |
| dc.subject | Similarity search algorithms | |
| dc.subject | Web-based visualization | |
| dc.title | Web Application Oriented to the Analysis of Multiple Trajectories in Football Matches Based on Georeferenced Data | |
| dc.type | conference output | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 205d0115-1d0f-46c4-8581-ea7a69642870 | |
| relation.isAuthorOfPublication | ba377c82-883d-4ed6-8700-a3d45ff9af17 | |
| relation.isAuthorOfPublication.latestForDiscovery | 205d0115-1d0f-46c4-8581-ea7a69642870 |
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