A View-invariant Skeleton Map with 3DCNN for Action Recognition

Long Wen
Long Wen
Shuguang Li
Shuguang Li
Chen Zhang
Chen Zhang

chinese automation congress, 2019.

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Abstract:

Skeleton based human action recognition is a challenging task in the field of computer vision, which is easily affected by variant camera viewpoint. A novel view-invariant feature is proposed in this paper. We encode the spatial-temporal information of skeleton joint points sequences into a view-invariant skeleton map (VISM), and employ a...More

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