Funding:





National Institute of Health

 

People:

A. Ganz
X. Yu

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Hy-RViS : Hybrid RF and Video Surveillance System for Reliable Tracking and Identification

In this project we introduce a system that tracks patients in a Mass Casualty Incident (MCI) using active RFID triage tags and mobile anchor points carried by the paramedics. The system does not involve any fixed deployment of the localization devices while maintaining a low cost triage tag. The localization accuracy is comparable to GPS systems without incurring the cost of providing a GPS based device to every patient in the disaster scene.

Publication:

X. Yu, A. Ganz, "Scalable Patients Tracking Framework for Mass Casualty Incidents", IEEE Engineering in Medicine and Biology Society, Boston, MA, September, 2011.

X. Yu, A. Ganz, "Identification of Tracklets in Video using Long Range Identity Sensors", IEEE Advanced Video and Signal Based Surveillance, September, 2010, Boston MA. (Best paper contender).

X. Yu, A. Ganz, "Mass Casualty Incident Surveillance and Monitoring using Identity Aware Video Analytics", the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10), Buenos Aires, Argentina, 1st-4th September, 2010.