Nov 3, 2017 · This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data ...

Feb 1, 2016 · Abstract:This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from ...

This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned ...

This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned ...

This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned ...

Bibliographic details on Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier.

... hand-crafted features for action recognition based on an hmm-svm classifier ... Pre One: Action recognition based on joint trajectory maps with convolutional ...

Feb 1, 2016 · This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data ...

Shuang Wang's 6 research works with 400 citations, including: Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM ...

This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned ...