DISSERTATION
Robust suspicious behaviour detection for smart surveillance systems
Year: 2010 University: Faculty of Built Environment and Engineering Vol: 2018 Pages: 2815193-2815193
Abstract
Findings from this study have implications for the prevention and management of hypertension in this semi-rural population.
Keywords:
Context (archaeology) Computer science Filter (signal processing) Domain (mathematical analysis) Computer security Artificial intelligence Risk analysis (engineering) Data science Computer vision
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Topics
Anomaly Detection Techniques and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences → Computer Science → Computer Networks and Communications
Video Surveillance and Tracking Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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