Paper Publications
A Self-trained Spatial Graph Convolutional Network for Unsupervised Human-related Anomalous Event Detection in Complex Scenes
-
Affiliation of Author(s):
控制科学与工程学院
-
Journal:
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
-
Key Words:
Anomaly detection;Event detection;Feature extraction;human skeleton;Human-related anomaly detection;self-training regression;Skeleton;spatial graph convolutional network;Task analysis;Training;Trajectory;video surveillance
-
First Author:
李南君
-
Document Code:
1559363562041430018
-
Number of Words:
10
-
Translation or Not:
no
