Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Visual saliency detection: a Kalman filter based approach   In this paper we propose a Kalman filter aided saliency detection model which
is based on the conjecture that salient regions are considerably different from
our "visual expectation" or they are "visually surprising" in nature. In this
work, we have structured our model with an immediate objective to predict
saliency in static images. However, the proposed model can be easily extended
for space-time saliency prediction. Our approach was evaluated using two
publicly available benchmark data sets and results have been compared with
other existing saliency models. The results clearly illustrate the superior
performance of the proposed model over other approaches.

7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex