Spatiotemporal Digital Forensic Toolkit for Mass Casualty Incidents: Interactive Incident Playback and Anomaly Detection

被引:0
作者
Tang, Jingyan [1 ]
Schafer, James [1 ]
Yang, Zhuorui [1 ]
Ganz, Aura [1 ]
机构
[1] Univ Massachusetts, Elect & Comp Engn Dept, Amherst, MA 01002 USA
来源
2016 IEEE SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST) | 2016年
关键词
visualization; anomaly detection; mass casualty incidents;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Analyzing and visualizing spatiotemporal events at a disaster site is a challenging task due to the vast number of events captured during the rescue process. At the same time, the availability of spatial temporal information during a disaster event is invaluable to understand the rescue process and enhance the MCI training accordingly. For this purpose, we have developed a spatiotemporal toolkit that will enable us to analyze and visualize these events, playback the events and detect anomalies. This toolkit will be very useful for forensics analysis of the rescue process during a real disaster or during training sessions. Our novel techniques will be used by analysts to examine current practices and significantly enhance our understanding of the rescue process enabling us to improve training.
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页数:4
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