Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Background Image Generation Using Boolean Operations   Tracking moving objects from a video sequence requires segmentation of these
objects from the background image. However, getting the actual background image
automatically without object detection and using only the video is difficult.
In this paper, we describe a novel algorithm that generates background from
real world images without foreground detection. The algorithm assumes that the
background image is shown in the majority of the video. Given this simple
assumption, the method described in this paper is able to accurately generate,
with high probability, the background image from a video using only a small
number of binary operations.

12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat