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Deep Learning-Based Real-Time Multiple-Person Action Recognition System.

Jen-Kai Tsai1, Chen-Chien Hsu1, Wei-Yen Wang1

  • 1Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan.

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|August 27, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a deep learning system for real-time multiple-person action recognition in untrimmed videos. The method enhances smart surveillance by accurately identifying actions of several individuals simultaneously.

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • Current action recognition systems often struggle with untrimmed videos and multiple simultaneous actions.
Keywords:
action recognitiondeep learninghuman trackingsmart surveillance

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  • Smart surveillance requires efficient human resource reduction through automated analysis.
  • Existing methods typically focus on single-person, single-action events in segmented videos.