Observation and analysis of large-scale human motion.
Many team sports include complex human movement, which can be observed at different levels of detail. Some aspects of the athlete's motion can be studied in detail using commercially available high-speed, high-accuracy biomechanical measurement systems. However, due to their limitations, these devices are not appropriate for studying large-scale motion during a game (for example, the motion of a player running across the entire playing field). We describe an alternative approach to studying such large-scale motion, and present a video-based, computer-aided system, developed specifically for the purpose of acquiring large-scale motion data. The baseline of our approach consists of sacrificing much of the spatial accuracy and temporal resolution of widely used biomechanical measurement systems, to obtain data on human movement that span large areas and long intervals of time. Data can be obtained for each of the observed athletes with reasonable amount of operator work. The system was developed using the recordings of a handball match. Several field tests were performed to assess measurement error, including comparison to one of the widely available biomechanical measurement systems. With the help of the system presented, we could obtain position data for all 14 handball players on a 40 x 20 m large court with RMS error better than 0.6 m, covering 1 h of action. Several results, obtained during the handball match study are presented, in order to highlight the importance of large-scale motion acquisition.
Pers
Janez
J
Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000, Ljubljana, Slovenia. janez.pers@fe.uni-lj.si
Bon
Marta
M
Kovacic
Stanislav
S
Sibila
Marko
M
Dezman
Branko
B
D001696:Biomechanical Phenomena; D006801:Humans; D008962:Models, Theoretical; D009039:Motion Perception / Q000502:physiology*; D009042:Motivation