… Hankelet-based approach against a baseline method. In addition, we compare results on
action recognition … , we represent the trajectories produced by a dynamical system through a …

… human action recognition from skeleton data, this paper focuses on such tasks by proposing
a hierarchical model to … Camps, “Hankelet-based dynamical systems modeling for 3D action …

… In this paper, the problem of action recognition can be considered as multiple binary regression
based classification problems in one versus all manner. There are n training samples U …

… a vector autoregressive model (VAR) of order p. The success of Hankelet-based time series
… Accuracy values in Action Recognition (UCF dataset) with 3D body joints trajectories. Bold …

… linear dynamical system (tLDS) for modeling tensor observations in time series and employed
Tucker decomposition to estimate the parameters of the LDS model as action descriptors. …

… Therefore, if skeleton sequences are regarded as multivariate time series generated from
an implicit dynamical system, we … Hankelet-based dynamical systems modeling for 3d action …

… For example, in computer graphics, modeling and animating … vision, human action detection
and identity recognition are at the … An action is represented by a dynamical system, whose …

… a series of simulation experiments and analyses using two publicly available skeleton-based
action recognition datasets: MSR-Action 3D (MSRA3D) [55] and Florence3D-Action (…

… and action recognition from those images through machine learning algorithms. A time series
of … Camps, “Hankelet-based dynamical systems modeling for 3d action recognition”, Image …

… , no similar definition is available for dynamic systems. … subspace angles [21], Hankelet-based
HMM [31], 3D joints [40], … classifying real 3D joint data for human action recognition. Our …