Browsing by Author "ALVES, RAFAEL NUNO DE SOUSA"
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- Design and implementation of a low-cost computer vision pipeline for amateur football analysisPublication . ALVES, RAFAEL NUNO DE SOUSA; Matos, Paulo Sérgio dos Santos; Martins, António Constantino LopesThe advancement of computer vision and artificial intelligence has opened new possibilities for sports analytics, particularly in football. This dissertation explores the development of an AI-powered multi-platform application designed to track and analyze amateur football matches without the need for wearable sensors. By leveraging computer vision techniques such as object detection, multi-object tracking, and real-time analytics, this research aims to provide an accessible and cost-effective solution for performance analysis in amateur football. The work presents a systematic review of existing methodologies, identifying key challenges such as occlusion, motion blur, and real-time computational constraints. A methodological framework based on the Design Science Research (DSR) approach guides the investigation, ensuring iterative development, validation, and refinement of the proposed system. The findings of this study lay the groundwork for the future implementation of a fully functional AI-based tracking system. Over the next six months, the research will transition into a practical phase, involving model training, system deployment, and real-world testing. By addressing the identified challenges and leveraging recent advancements in AI and computer vision, this project aims to bridge the gap between professional and amateur sports analytics.