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Bagadus: an integrated system for arena sports analytics: a soccer case study

Published: 28 February 2013 Publication History

Abstract

Sports analytics is a growing area of interest, both from a computer system view to manage the technical challenges and from a sport performance view to aid the development of athletes. In this paper, we present Bagadus, a prototype of a sports analytics application using soccer as a case study. Bagadus integrates a sensor system, a soccer analytics annotations system and a video processing system using a video camera array. A prototype is currently installed at Alfheim Stadium in Norway, and in this paper, we describe how the system can follow and zoom in on particular player(s). Next, the system will playout events from the games using stitched panorama video or camera switching mode and create video summaries based on queries to the sensor system. Furthermore, we evaluate the system from a systems point of view, benchmarking different approaches, algorithms and tradeoffs.

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cover image ACM Conferences
MMSys '13: Proceedings of the 4th ACM Multimedia Systems Conference
February 2013
304 pages
ISBN:9781450318945
DOI:10.1145/2483977
  • General Chair:
  • Carsten Griwodz
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 28 February 2013

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Author Tags

  1. camera array
  2. sensor tracking
  3. soccer system
  4. sport analytics
  5. system integration
  6. video annotation

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  • Research-article

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MMSys '13: Multimedia Systems Conference 2013
February 28 - March 1, 2013
Oslo, Norway

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MMSys '13 Paper Acceptance Rate 15 of 63 submissions, 24%;
Overall Acceptance Rate 176 of 530 submissions, 33%

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  • (2023)Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country SkiersMultiMedia Modeling10.1007/978-3-031-27077-2_43(553-564)Online publication date: 29-Mar-2023
  • (2022)Video Analytics in Elite Soccer: A Distributed Computing Perspective2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)10.1109/SAM53842.2022.9827827(221-225)Online publication date: 20-Jun-2022
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