Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Robust Scalable Singular Value Decomposition Algorithm for Video
  Surveillance Background Modelling   A basic algorithmic task in automated video surveillance is to separate
background and foreground objects. Camera tampering, noisy videos, low frame
rate, etc., pose difficulties in solving the problem. A general approach which
classifies the tampered frames, and performs subsequent analysis on the
remaining frames after discarding the tampered ones, results in loss of
information. We propose a robust singular value decomposition (SVD) approach
based on the density power divergence to perform background separation robustly
even in the presence of tampered frames. We also provide theoretical results
and perform simulations to validate the superiority of the proposed method over
the few existing robust SVD methods. Finally, we indicate several other
use-cases of the proposed method to show its general applicability to a large
range of problems.

9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci