Learning Action Recognition Model from Depth and Skeleton Videos

Abstract

Depth sensors open up possibilities of dealing with the human action recognition problem by providing 3D human skeleton data and depth images of the scene. Analysis of human actions based on 3D skeleton data has become popular recently, due to its robustness and view-invariant representation. However, the skeleton alone is insufficient to distinguish… (More)

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Cite this paper

@article{Rahmani2017LearningAR, title={Learning Action Recognition Model from Depth and Skeleton Videos}, author={Hossein Rahmani and Mohammed Bennamoun}, journal={2017 IEEE International Conference on Computer Vision (ICCV)}, year={2017}, pages={5833-5842} }