Tutorial
"Video Surveillance and Monitoring"
Speaker: Mubarak Shah
Outline
Recently, computer vision has gradually been making the transition away
from understanding single images to analyzing image sequences, or video
understanding. Video understanding deals with understanding video
sequences, e.g., recognition of gestures, activities, and facial
expressions. The main shift in the classic paradigm has been from the
recognition of static objects in the scene to motion-based recognition
of actions and events. Since most videos are about people, this work has
mainly focused on analysis of human motion. In particular, there has
been a significant interest in the automated visual surveillance
systems. Such systems have the advantage of providing continuous active
warning capabilities and are especially useful in the areas of law
enforcement, national defense, border control and airport security.
The main steps in video understanding are: detection of objects of
interest in video (e.g. people, vehicles), tracking of those objects
from frame to frame, and recognition of their activities and behavior.
In this tutorial, I will present our work in object detection, tracking
and human activity recognition.
Biography
Dr. Mubarak Shah, Agere Chair Professor of Computer Science, and the
founding director of the Computer Visions Lab at the University of
Central Florida, Orlando, is known worldwide as a researcher in a number
of computer vision areas. He has published two books, ten book chapters,
sixty five papers in top journals and one hundred fifty papers in
international conferences.
Dr. Shah is a fellow of IEEE and IAPR. In 2006, he was awarded a Pegasus
Professor award, the highest award at UCF, given to a faculty member who
has made a significant impact on the university, has made an
extraordinary contribution to the university community, and has
demonstrated excellence in teaching, research and service. 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, Millionaires' Club
awards in 2005 and 2006, 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 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.
