Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Contour graph based human tracking and action sequence recognition
Pattern Recognition
Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
Probabilistic human interaction understanding
Pattern Recognition Letters
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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.