Prof Mubarak Shah
University of Central Florida, USA
Mubarak is the Agere Chair Professor of Computer Science and the founding director of the Centre for Research in Computer Visions at University of Central Florida (UCF). He is a co-author of five books (Motion-Based Recognition (1997); Video Registration (2003); Automated Multi-Camera Surveillance: Algorithms and Practice (2008); Modelling, Simulation and Visual Analysis of Crowds (2013); and Robust Subspace Estimation Using Low-Rank Optimization (2014). He has published extensively (over 400 research articles) on topics related to visual surveillance, tracking, human activity and action recognition, object detection and categorization, shape from shading, geo registration, visual crowd analysis, etc. Dr. Shah is a fellow of IEEE, IAPR, AAAS and SPIE. To date, he has received over 15 awards from the UCF and other international prestigious institutions. These include:
He is an editor of the international book series on Video Computing; editor in chief of Machine Vision and Applications journal, and an associate editor of ACM Computing Surveys journal. He was the program co-chair of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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