A theoretical framework for activity classification

Hamid Krim (Department of Electrical and Computer Engineering, North Carolina State University, USA)

APPLIED SIGNAL PROCESSING SERIES

DATE: 2012-07-19
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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ABSTRACT:
Shape analysis is playing an increasingly important role in many applications where object classi cation 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 rst 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.
BIO:
Hamid Krim received his BSc.and MSc. in EE from University of Washington and a Ph.D. degree in ECE from Northeastern University. He was a Member of Technical Sta at AT&T Bell Labs, where he has conducted research and development in the areas of telephony and digital communication systems/subsystems. Following an NSF postdoctoral fellowship at Foreign Centers of Excellence, LSS/University of Orsay, Paris, France, he joined the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA as a Research Scientist and where he was performing and supervising research. He is presently Professor of Electrical Engineering in the ECE Department, North Carolina State University, Raleigh, directing the Vision, Information and Statistical Signal Theories and Applications group. He is a Fellow of the IEEE.