Explainable AI for Suspicious Activity Detection in Surveillance
Published:Dec 10, 2025 04:39
•1 min read
•ArXiv
Analysis
This research explores the application of Transformer models to fuse multimodal data for improved suspicious activity detection in visual surveillance. The emphasis on explainability is crucial for building trust and enabling practical application in security contexts.
Key Takeaways
Reference
“The research focuses on explainable suspiciousness estimation.”