19 citations · 38 across the 15 of their papers we have counts for
4 papers · 1 filter
Online and Batch Supervised Background Estimation via L1 Regression
Aritra Dutta, Peter Richtarik
We propose a surprisingly simple model for supervised video background estimation. Our model is based on regression. As existing methods for regression do not sca…
Weighted Low Rank Approximation for Background Estimation Problems
Aritra Dutta, Xin Li
Classical principal component analysis (PCA) is not robust to the presence of sparse outliers in the data. The use of the norm in the Robust PCA (RPCA) method successfully…
Weighted Singular Value Thresholding and its Application to Background Estimation
Aritra Dutta, Boqing Gong, Xin Li +1
Singular value thresholding (SVT) plays an important role in the well-known robust principal component analysis (RPCA) algorithms which have many applications in computer vision an…
A Fast Algorithm for a Weighted Low Rank Approximation
Aritra Dutta, Xin Li
Matrix low rank approximation including the classical PCA and the robust PCA (RPCA) method have been applied to solve the background modeling problem in video analysis. Recently, i…