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Spatio-temporal texture modelling for real-time crowd anomaly detection
Jing Wang, Zhijie Xu
Department of Computer Science
CVIC - Centre for Visual and Immersive Computing
School of Computing and Engineering
Research output
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Contribution to journal
›
Article
›
peer-review
66
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Citations (Scopus)
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Keyphrases
Texture Model
100%
Crowd Anomaly Detection
100%
Real-time Crowd
100%
Spatio-temporal Texture
100%
Detection Method
50%
Statistical Features
50%
Increased Demand
50%
Time Application
50%
Anomaly Behavior
50%
Video Anomaly Detection
50%
Video Event Detection
50%
Detecting Anomalies
50%
Anomaly Detection System
50%
Crowd Behavior Analysis
50%
Crowd Videos
50%
Security Industry
50%
Feature Extracting
50%
Video Footage
50%
Crowd Features
50%
Computer Vision
50%
Benchmark System
50%
Crowd Behavior Detection
50%
Recognition Process
50%
Machine Recognition
50%
Machine Learning Workflow
50%
Computer Science
Anomaly Detection
100%
Learning Process
50%
Artificial Intelligence
50%
Learning System
50%
Machine Learning
50%
Detection Algorithm
50%
Computer Vision
50%
Statistical Feature
50%
Detecting Anomaly
50%
Behavior Analysis
50%
Extracted Feature
50%
Security Industry
50%
Event Detection
50%
Real-Time Application
50%
Recognition Process
50%