HYBRID AI FRAMEWORK FOR EFFICIENT ANOMALY DETECTION IN VIDEO SURVEILLANCE DATA
DOI:
https://doi.org/10.30888/2663-5712.2025-33-01-083Keywords:
artificial intelligence, video surveillance, information systems, genetic algorithm, modeling, computer vision, video surveillance dataAbstract
Contemporary video surveillance infrastructure produces substantial data streams, posing challenges for efficient real-time processing. Current automated anomaly detection techniques frequently demand extensive computational resources and function as opaqReferences
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