Classification of Multidimensional Time-Evolving Data Using Histograms of Grassmannian Points.

In this paper, we address the problem of classifying multidimensional time-evolving data in dynamic scenes. To take advantage of the correlation between the different channels of data, we introduce a generalized form of a stabilized higher order linear dynamical system (sh-LDS) and we represent the multidimensional signal as a third-order tensor. In addition, we show that the parameters of the pro...