Semantic Image Networks for Human Action Recognition

21 Jan 2019 Sunder Ali Khowaja Seok-Lyong Lee

In this paper, we propose the use of a semantic image, an improved representation for video analysis, principally in combination with Inception networks. The semantic image is obtained by applying localized sparse segmentation using global clustering (LSSGC) prior to the approximate rank pooling which summarizes the motion characteristics in single or multiple images... (read more)

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METHOD TYPE
Sigmoid Activation
Activation Functions
Tanh Activation
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Memory Network
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LSTM
Recurrent Neural Networks