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Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network
  • Affiliation of Author(s):
    控制科学与工程学院
  • Journal:
    Neurocomputing
  • Key Words:
    Human skeleton;Human-related anomaly detection;Long short-term memory network;Spatial-temporal graph convolutional autoencoder;Video surveillance
  • First Author:
    Li, Nanjun
  • Document Code:
    1539149096075452417
  • Volume:
    490
  • Page Number:
    482-494
  • Number of Words:
    10
  • Translation or Not:
    no
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