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 Troms,

Norway. Player data, including eld 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 dierent speed

classes, are also included with a 1 Hz sampling rate. The pro-

vided videos are in high-denition and captured using two

stationary camera arrays positioned at an elevated position

above the tribune area close to the center of the eld. The

camera array is congured to cover the entire soccer eld,

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

IAD