Abstract
In this work, a novel real-time approach is designed to detect abnormal events in real-world traffic videos and evaluate the severity characteristics of the events by classifying into two severity classes.
Keywords
Computer science
Artificial intelligence
Data mining
Subject Areas
Anomaly Detection Techniques and Applications
·Artificial Intelligence ·Physical Sciences
Network Security and Intrusion Detection
·Computer Networks and Communications ·Physical Sciences
Video Surveillance and Tracking Methods
·Computer Vision and Pattern Recognition ·Physical Sciences
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