Parallel Distributed Face Search System for National and Border Security

Brian C. Lovell, Abbas Bigdeli, Sandra Mau
NICTA and School of ITEE, The University of Queensland, Level 5, Axon Building, Staff House Rd, St Lucia
Defence Applications of Signal Processing Workshop (DASP’11), 2011

   title={Parallel Distributed Face Search System for National and Border Security},

   author={Lovell, B.C. and Bigdeli, A. and Mau, S.},



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The CCTV surveillance industry is undergoing a sea change due to the adoption of IP technologies. This is allowing the integration of a plethora of new cameras and other sensors into huge integrated networks. Adoption of IP technologies is presenting opportunities for scalable visual analytics that has the potential to add enormous value to entire camera networks. One such technology is scalable robust face search to identify persons of interest in large crowds. Not only are such systems required to work robustly in a wide variety of conditions, they must also be extremely fast and scalable to hundreds, if not thousands, of high definition camera nodes. Developing and testing such technology is challenging and requires a combination of fast algorithms, distributed databases, mobile platform integration, parallel processing using distributed middleware such as ROS, and GPU acceleration using tools such as CUDA and OpenCL. In this paper we cover emerging system trends such as supermegapixel cameras, post incident digital PTZ, integration and fusion of video and non-video sensors, multimodal remote biometrics including face and iris on the move. Finally, recognition results will be presented from a formal face recognition trial in early 2011 in one of Asia’s largest International airports.
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