title: Mass casualty incident surveillance and monitoring using identity aware video analytics.
abstract: In this paper, we propose an identity aware video analytic system that can assist securing the perimeter of a mass casualty incident scene and generate identity annotated video records for forensics and training purposes. Establishing a secure incident scene perimeter and enforcing access control to different zones is a demanding task for current video surveillance systems which lack the ability to provide the identity of the target and its security clearance. Our system which combines active RFID sensors with video analytic tools recovers the identity of the target enabling the activation of suitable alert policies. The system also enables annotation of incident scene video with identity metadata, facilitating the incident response process reconstruction for forensics analysis and emergency response training.
authors.affiliation: Electrical and Computer Engineering Department, University of Massachusetts, Amherst, USA.
authors.forename: Xunyi
authors.initials: X
authors.lastname: Yu
authors.forename: Aura
authors.initials: A
authors.lastname: Ganz
mesh_terms: D000465:Algorithms; D054527:Mass Casualty Incidents; D011846:Radio Waves; D018571:Sentinel Surveillance; D014743:Videotape Recording