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A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition.

Beibei ZhangHongji XuHailiang XiongXiaojie SunLeixin ShiShidi FanJuan Li
Published in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
  • human activity recognition
  • feature extraction
  • activity recognition
  • feature selection
  • space time
  • visual surveillance
  • learning algorithm
  • training data
  • dimensionality reduction
  • detection algorithm
  • human activities