Shape Analysis and Modeling in Video Applications: Activity Analysis

Prof. Hamid Krim (North Carolina State University)


DATE: 2015-05-01
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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Shape analysis is playing an increasingly important role in many applications where object classification and understanding are of interest. Solutions to many existing as well as new emerging applied problems (e.g, object recognition, biometrics etc.) crucially depend on object modeling and their parsimonious representation. Modeling an active silhouette in a video sequence provides a good solution for activity surveillance. We pose this problem as one of tracking a flow of shapes as entities on a curved space. We first propose a stochastic model for a flow on a manifold to carry out classification of different processes. We then exploit this insight to develop a tracking filter of these shapes and subsequently propose a generative model useful in a variety of applications. We subsequently propose a generative model for human activity. We provide substantiating illustrations.
Hamid Krim (F) received his degrees in Electrical Engineering. As a member of technical staff at AT&T Bell Labs, he has worked in the area of telephony and digital communication systems/subsystems. In 1991, he became a NSF Post-doctoral scholar at Foreign Centers of Excellence (LSS Supelec/Univ. of Orsay, Paris, France). In 1992, he joined the Laboratory for Information and Decision Systems, MIT, Cambridge, MA, as a Research Scientist performing/supervising research in his area of interest. In 1998, he joined the Electrical and Computer Engineering Department at North Carolina State University, Raleigh, N.C., where he is currently Professor and directing the Vision, Information, Statistical Signal Theories and Applications (VISSTA) Laboratory.

Dr. Krimas editorial activities include: Editorial Board Member, IEEE Transactions on Signal Processing(2002-2004); Editorial Board Member, IEEE Signal Processing Magazine (2014).

Dr. Krim is an IEEE Fellow and was a Fellow, Japanese Foundation for the Advancement of Research in Science and Engineering at the University of Tokyo, Japan. Dr. Krim is a Member of SIAM and of Sigma Xi. He is an original contributor and now an Affiliate of the Center for Imaging Science, sponsored by the Army. He is a recipient, NSF Career Young Investigator Award.

Dr. Krimas research interests are in statistical signal processing and mathematical modeling with a keen emphasis on applications. He has been particularly interested in introducing geometric and topological tools to statistical signal processing problems and applications. His research has primarily centered on estimation theoretic problems and modeling. Dr. Krim has published extensively on these areas with an impact amounting to over 5000 citations to date.

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