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)

PDF Abstract
No code implementations yet. Submit your code now


  Add Datasets introduced or used in this paper

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
Memory Network
Working Memory Models
Recurrent Neural Networks