Biometrics- Active and Passive Range Sensor Fusion for Automated Surveillance and Face Recognition
Dr. Lau with the University of Kentucky is demonstrating the capability for automated face recognition through three-dimensional image capture. Various active and passive range sensing techniques are used. The technologies range from a small surveillance pod which incorporates two cameras with a digital projector for short range 3-D imaging, to a long-range time-of-flight range sensing systems which uses active beam steering to direct a narrow beam light pulse.
The Challenge
The task of assuring the security of our homeland involves protecting the citizens of the United States, the nation's critical infrastructure and key assets. This is necessary to sustain the nation's vitality against terrorism and other threats. This protection must originate at the community level. It requires discovering, developing and deploying new technology that will support first responders and key decision makers in local communities.
The Mission
NIHS' mission is to discover, develop and deploy solutions that protect and preserve the critical infrastructure of the nation's communities.
The Institute
NIHS aligns projects and research objectives with the needs and requirements of the U.S. Department of Homeland Security. The strategy is to manage a distributed research enterprise that effectively transitions research and development into solutions. NIHS works with DHS to determine technology needs at the community level. Then, teams are quickly assembled from multiple universities to develop solutions to the needs.
The Strategy
Through management of the Kentucky Critical Infrastructure Protections Program (KCI), the National Institute for Hometown Security (NIHS) provides an ongoing, integrated program dedicated to developing new technologies and devices. NIHS works through qualified academic institutions to accomplish the technological objectives.
