Tensor-based linear dynamical systems for action recognition from 3D skeletons

作者：

Highlights：

• Some novel tensor representation for 3D skeleton are proposed.

• Tensor-based linear dynamical system is proposed.

• Higher recognition accuracy for different datasets are achieved.

摘要

•Some novel tensor representation for 3D skeleton are proposed.•Tensor-based linear dynamical system is proposed.•Higher recognition accuracy for different datasets are achieved.

论文关键词：Skeleton joints,Action recognition,Subspace learning,Tensor learning,Grassmann manifold

论文评审过程：Received 25 November 2017, Accepted 5 December 2017, Available online 7 December 2017, Version of Record 27 December 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.12.004