CS Colloquium Series @ UCY
Department of Computer Science - University of Cyprus
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Colloquium: Incremental Robust Principal Component Analysis for Video Background Modeling: theory, applications and jitter invariant extension., Dr. Paul Rodriguez (Pontificia Universidad Catolica del Peru, Peru), Monday, February 29, 2016, 12:00-13:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Incremental Robust Principal Component Analysis for Video Background Modeling: theory, applications and jitter invariant extension.
Speaker: Dr. Paul Rodriguez |
Abstract:
While Robust Principal Component Analysis (RPCA), a.k.a. Principal
Component Pursuit (PCP), is currently considered to be the state of
the art method for video background modeling, it suffers from a number
of limitations, including a high computational cost, a batch operating
mode, and sensitivity to camera jitter. The original PCP problem
considers the nuclear and l1 norms as penalties for the background
(low-rank) and foreground or moving objects (sparse) with an equality
constraint for the observed videos and low-rank and sparse components.
In this talk we propose to change constraints to penalties, obtaining a
variant where the restoration error (observed video minus low-rank and
sparse component) and l1 norm are penalties while imposing the rank of
the low-rank component as a constraint. Interestingly, this particular
variant can be effectively solved in an incremental fashion, allowing
real-time implementation for live-feed HD videos; moreover,
considering T(.), an unknown rigid transformation, applied to the
low-rank component, we can also cope with translational and rotational
jitter, allowing almost real-time processing. Furthermore, in this
talk we will also include a detailed analysis of the proposed RPCA
variant as well as incremental SVD, which is the key to solve the
equivalent problem incrementally.
Short Bio:
Paul Rodriguez received the BSc degree in electrical engineering from the
"Pontificia Universidad Católica del Perú" (PUCP), Lima, Peru, in
1997, and the MSc
and PhD degrees in electrical engineering from the University of New
Mexico, USA,
in 2003 and 2005 respectively. He spent two years (2005-2007) as a postdoctoral
researcher at Los Alamos National Laboratory, and is currently a Full Professor
with the Department of Electrical Engineering at PUCP. His research interests
include AM-FM models, parallel algorithms, adaptive signal decompositions, and
inverse problems in signal and image processing.
Sponsor: The CS Colloquium Series is supported by a generous donation from |