A new smart-home video anomaly benchmark and a taxonomy-driven reflective LLM chain that improves MLLM anomaly detection accuracy by 11.62 percentage points over zero-shot prompting.
Real-time video anomaly detection for smart surveillance.IET Image Processing, 17(5):1375–1388,
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SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models
A new smart-home video anomaly benchmark and a taxonomy-driven reflective LLM chain that improves MLLM anomaly detection accuracy by 11.62 percentage points over zero-shot prompting.