AI RESEARCH
Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
arXiv CS.AI
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ArXi:2605.22904v1 Announce Type: cross Understanding and monitoring human behavior in metro stations play an important role in ing suicide prevention efforts, where early identification of high-risk situations can enable timely intervention. This requires assessing suicide risk from a surveillance video by jointly reasoning about the behavior of each passenger, his/her spatial context, and temporal dynamics.