Yu Xunyi, Ganz Aura
Electrical and Computer Engineering Department, University of Massachusetts, Amherst, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3755-8. doi: 10.1109/IEMBS.2010.5627536.
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.
在本文中，我们提出了一种身份感知视频分析系统，该系统可协助确保大规模伤亡事件现场的周边安全，并生成用于法医和训练目的的身份注释视频记录。对于当前缺乏提供目标身份及其安全许可能力的视频监控系统而言，建立一个安全的事件现场周边并对不同区域实施访问控制是一项艰巨的任务。我们的系统将有源射频识别（RFID）传感器与视频分析工具相结合，可恢复目标的身份，从而能够激活合适的警报策略。该系统还能够用身份元数据对事件现场视频进行注释，便于为法医分析和应急响应训练重建事件响应过程。
