A study on gait parameter estimation stability for the frontal view gait video data based on simulation
Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan
ABSTRACT: We study the problem of analyzing and classifying frontal view gait video data. The video data filmed from the frontal view is difficult to analyze, because the subject getting close in to the camera, and data includes the scale-changing parameters (Barnich and Droogenbroeck 2009, Lee et al. 2008). To cope with this, Okusa et al. (2011) and Okusa & Kamakura (2012) proposed a registration for scales of moving object using the method of nonlinear least squares, but Okusa et al. (2011) and Okusa & Kamakura (2012) did not focus on ...
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