CVL Seminar: Namrata Vaswani, Recursive Sparse Recovery and Applications in Dynamic Imaging".
Date: March 30, 2011
Time: 11:00 am
Location: AV Williams 1146
In this talk, I will discuss our recent work on Recursive Sparse Recovery (RecSparsRec) and show how it provides novel solutions to two very different problems in dynamic imaging. RecSparsRec refers to recursive approaches to causally recover a time sequence of signals/images from a greatly reduced number of measurements (compared to existing approaches), by utilizing their sparsity.
I will also briefly talk about our ongoing work on the difficult video surveillance problem of tracking multiple small-sized moving objects when the background scene itself is changing. This is posed as a problem of recursive robust principal components analysis (PCA) in the presence of correlated outliers. I will show how RecSparsRec is a key part of a completely new approach to solve this well-studied problem.