Soccer Video and Player Position Dataset

• Main Authors: Svein Arne Pettersen, Dag Johansen, Håvard Johansen, Vegard Berg-johansen, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Categories and Subject Descriptors D.2.4 [Software Engineering; Software/Program Verifi- cation—Validation; H.3.7 [Information Storage and Re- trieval; Digital Libraries—Collection; I.2.10 [Artificial Intelligence; Vision and Scene Understanding—Video anal- ysis General Terms Experimentation; Measurement; Performance Keywords Soccer; Alfheim; Norway; Tromsø
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.6089; http://heim.ifi.uio.no/~paalh/publications/files/mmsys2014-dataset.pdf

This paper presents a dataset of body-sensor traces and cor-responding 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 20 Hz 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 1 Hz sampling rate. The pro-vided 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 ex-traction, object tracking, background subtraction, and sim-ilar, to be tested against the ground truth contained in the sensor traces.