Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

17 Mar 2018Pichao WangWanqing LiZhimin GaoChang TangPhilip Ogunbona

This paper proposes three simple, compact yet effective representations of depth sequences, referred to respectively as Dynamic Depth Images (DDI), Dynamic Depth Normal Images (DDNI) and Dynamic Depth Motion Normal Images (DDMNI), for both isolated and continuous action recognition. These dynamic images are constructed from a segmented sequence of depth maps using hierarchical bidirectional rank pooling to effectively capture the spatial-temporal information... (read more)

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