Soccer video and player position dataset

  • Authors:

  • Svein Arne Pettersen;Dag Johansen;Håvard Johansen;Vegard Berg-Johansen;Vamsidhar Reddy Gaddam;Asgeir Mortensen;Ragnar Langseth;Carsten Griwodz;Håkon Kvale Stensland;Pål Halvorsen

  • Affiliations:

  • University of Tromsø, Norway;University of Tromsø, Norway;University of Tromsø, Norway;Tromsø Idrettslag, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway;Simula Research Laboratory, Norway and University of Oslo, Norway

  • Venue:
  • Proceedings of the 5th ACM Multimedia Systems Conference
  • Year:
  • 2014

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Abstract

This paper presents a dataset of body-sensor traces and corresponding videos from several professional soccer games captured in late 2013 at the Alfheim Stadium in Tromsø, Norway. Player data, including field position, heading, and speed are sampled at 20Hz using the highly accurate ZXY Sport Tracking system. Additional per-player statistics, like total distance covered and distance covered in different speed classes, are also included with a 1Hz sampling rate. The provided videos are in high-definition and captured using two stationary camera arrays positioned at an elevated position above the tribune area close to the center of the field. The camera array is configured to cover the entire soccer field, and each camera can be used individually or as a stitched panorama video. This combination of body-sensor data and videos enables computer-vision algorithms for feature extraction, object tracking, background subtraction, and similar, to be tested against the ground truth contained in the sensor traces.