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Special Talk: Edgar Lobaton, University of California, Berkeley, “Recovering Topological Information of a Camera Network Coverage”

February 2, 2009 @ 11:30 am - 12:30 pm

Abstract: Camera networks are used for surveillance, monitoring and tracking. For the most part, localization information such as camera locations and other environment factors (e.g. walls, rooms, and building layout) are known. But how much of this information is really necessary to perform a task? The present work focuses on tracking and navigation tasks that do not require full localization information. In particular, we will discuss the recovery of topological information of the camera network coverage, captured in a simplicial representation built from discrete observations, and used for tracking, identification of homotopic paths, and navigation. A simple algorithm for obtaining this discrete observations and building the simplicial representation will demonstrate how these tasks can be performed without full localization information. This algorithm will prove to be particularly useful for ad-hoc camera networks with limited computational power and energy.


Edgar Lobaton received his B.S. in Mathematics and a B.S. in Electrical Engineering from Seattle University in 2004. Currently, he is pursuing a Ph.D. degree in Electrical Engineering at the University of California, Berkeley under Dr. Ruzena Bajscy. Edgar’s thesis work focuses on recoverying topological structure from a distributed camera network with no localization information. Edgar’s research also involves the modeling, reconstruction and analysis of 2D and 3D phenomena.


February 2, 2009
11:30 am - 12:30 pm
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