Title : Distributed Multi-Camera Networks: Graphs, Grammars, and Tensors

Abstract : Tremendous efforts have been made over the past decade to install large camera networks in sensitive facilities and metropolitan areas. The aim of the deployed camera networks is to enhance surveillance, security, traffic monitoring, and emergency management. The critical limitation of camera networks is the enormous volume of data generated, rendering large-scale real-time imaging efforts ineffective. In this talk, we introduce a new design methodology for distributed signal processing based on complex-structure representation models of multi-camera visual data. We demonstrate the proposed approach to distributed multi-camera systems in various applications such as target tracking, pose estimation, event detection, and image rendering and reconstruction.

Biography:Dan Schonfeld received the B.S. degree in Electrical Engineering and Computer Science from the University of California at Berkeley, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from The Johns Hopkins University, in 1986, 1988, and 1990, respectively. In 1990, he joined the University of Illinois at Chicago, where he is currently a Professor in the Departments of Electrical and Computer Engineering, Computer Science, and Bioengineering. Dr. Schonfeld has been elected University Scholar of the University of Illinois. He has authored over 200 technical papers in various journals and conferences. Dr. Schonfeld has been elevated to the rank of Fellow of the IEEE “for contributions to image and video analysis.” He was also elevated to the rank of Fellow of the SPIE “for specific achievements in morphological image processing and video analysis.” He is currently serving as Deputy Editor-in-Chief of the IEEE Transactions on Circuits and Systems for Video Technology and Area Editor for Special Issues of the IEEE Signal Processing Magazine. His current research interests are in signal processing, image and video analysis, video retrieval and communications, multimedia systems, computer vision, medical imaging, and genomic signal processing.