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Special GRASP Seminar: Mubarak Shah, University of Central Florida, “Representing Human Actions As Motion Patterns”

March 13, 2013 @ 3:30 pm - 4:30 pm

Abstract: Automatic
analysis of videos is one of most challenging problems in Computer vision. In
this talk I will introduce the problem of action, event, and activity
representation and recognition from video sequences. I will begin by giving a
brief overview of a few interesting methods to solve this problem, including
trajectories, volumes, and local interest points based representations.

main part of the talk will focus on a newly developed framework for the
discovery and statistical representation of motion patterns in videos, which
can act as primitive, atomic actions. These action primitives are employed as a
generalizable representation of articulated human actions, gestures, and facial
expressions. The motion primitives are learned by hierarchical clustering of
observed optical flow in four dimensional, spatial and motion flow space, and a
sequence of these primitives can be represented as a simple string, a
histogram, or a Hidden Markov model.

will then describe methods to extend the framework of motion patterns
estimation to the problem of multi-agent activity recognition. First, I will
talk about Similarity invariant matching of motion patterns in order to
recognize simple events in surveillance scenarios. I will end the talk by
presenting a framework in which a motion pattern represents the behavior of a
single agent, while multi-agent activity takes the form of a graph, which can
be compared to other activity graphs, by attributed inexact graph matching.
This method is applied to the problem of American football plays recognition.


- Learn More

Dr. Mubarak Shah, Agere Chair Professor of
Computer Science, is the founding director of Center for Research in Computer Visions at
University of Central Florida (UCF). He is a co-author of three books (Motion-Based Recognition (1997), Video Registration (2003), and Automated Multi-Camera Surveillance:
Algorithms and Practice
(2008)), all by Springer. He has published
extensively 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. In 2006, he was awarded the Pegasus Professor award,
the highest award at UCF, given to a faculty member who has made a significant
impact on the university. 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;
SANA award in 2007, an 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 and 2010. At UCF he received Scholarship of Teaching
and Learning (SoTL) award in 20111; College of Engineering and Computer Science
Advisory Board award for faculty excellence in 2011; Teaching Incentive Program
awards in 1995 and 2003, Research Incentive Award in 2003 and 2009,
Millionaires’ Club awards in 2005, 2006,
2009, 2010 and 2011; University Distinguished Researcher award in 2007
and 2012. 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. He was the program
co-chair of IEEE Conference on Computer Vision and Pattern Recognition (CVPR),


March 13, 2013
3:30 pm - 4:30 pm
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