Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds

We study the problem of analyzing and classifying human gait by modeling it as a stochastic process on a shape space. We consider gait as a evolution of human silhouettes as seen in video sequences, and focus on their shapes. More specifically, we define a shape space of planar, closed curves and mo...

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