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29 April 2005 Coarse-to-fine markerless gait analysis based on PCA and Gauss-Laguerre decomposition
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Human movement analysis is generally performed through the utilization of marker-based systems, which allow reconstructing, with high levels of accuracy, the trajectories of markers allocated on specific points of the human body. Marker based systems, however, show some drawbacks that can be overcome by the use of video systems applying markerless techniques. In this paper, a specifically designed computer vision technique for the detection and tracking of relevant body points is presented. It is based on the Gauss-Laguerre Decomposition, and a Principal Component Analysis Technique (PCA) is used to circumscribe the region of interest. Results obtained on both synthetic and experimental tests provide significant reduction of the computational costs, with no significant reduction of the tracking accuracy.
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Michela Goffredo, Maurizio Schmid, Silvia Conforto, Marco Carli, Alessandro Neri, and Tommaso D'Alessio "Coarse-to-fine markerless gait analysis based on PCA and Gauss-Laguerre decomposition", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005);

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