Periodic human motion description for sports video databases

Many different visual features can be used for analysis and annotation of sports video material. Here, we present a periodic motion feature descriptor that can discriminate between different sports types that contain periodic motion. The experimental results, using video material from the 1992 Barcelona Olympic Games, show that the proposed periodic motion descriptor can successfully classify four sports types: sprint, long-distance running, hurdling and canoeing.