Mubarak Shah:
Dr. Mubarak Shah, Agere Chair Professor of Computer Science, is the
founding director of the Computer Visions Lab at UCF. His research interests
include: video surveillance, visual tracking, human activity recognition, visual
analysis of crowded scenes, video registration, UAV video analysis, etc. Dr.
Shah is a fellow of IEEE, AAAS, IAPR and SPIE. In 2006, he was awarded a Pegasus
Professor award, the highest award at UCF. He is ACM distinguished speaker. He
was an IEEE Distinguished Visitor speaker for 1997-2000 and received IEEE
Outstanding Engineering Educator Award in 1997. He received the Harris
Corporation's Engineering Achievement Award in 1999, the TOKTEN awards from UNDP
in 1995, 1997, and 2000; Teaching Incentive Program award in 1995 and 2003,
Research Incentive Award in 2003 and 2009, Millionaires' Club awards in 2005 and
2006, University Distinguished Researcher award in 2007, honorable mention for
the ICCV 2005 Where Am I? Challenge Problem, and was nominated for the best
paper award in ACM Multimedia Conference in 2005. He is an editor of
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 an associate editor of the IEEE Transactions on PAMI, and a
guest editor of the special issue of International Journal of Computer Vision on
Video Computing.
For more, see
personal webpage
Crowd Analysis
Particle-based methods for tracking individuals in crowded scenes; Lagrangian approaches for holistic flow-based crowd analysis.