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A New Approach of Feature Combination for Object Detection in Saliency-based Visual Attention

by Zahra Kouchaki, Ali Motie Nasrabadi, Keivan Maghooli
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 19
Year of Publication: 2013
Authors: Zahra Kouchaki, Ali Motie Nasrabadi, Keivan Maghooli
10.5120/10034-3955

Zahra Kouchaki, Ali Motie Nasrabadi, Keivan Maghooli . A New Approach of Feature Combination for Object Detection in Saliency-based Visual Attention. International Journal of Computer Applications. 61, 19 ( January 2013), 7-12. DOI=10.5120/10034-3955

@article{ 10.5120/10034-3955,
author = { Zahra Kouchaki, Ali Motie Nasrabadi, Keivan Maghooli },
title = { A New Approach of Feature Combination for Object Detection in Saliency-based Visual Attention },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 19 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number19/10034-3955/ },
doi = { 10.5120/10034-3955 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:09:51.049659+05:30
%A Zahra Kouchaki
%A Ali Motie Nasrabadi
%A Keivan Maghooli
%T A New Approach of Feature Combination for Object Detection in Saliency-based Visual Attention
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 19
%P 7-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a fuzzy approach of feature maps combination in saliency-based visual attention model proposed by Itti. This strategy applies fuzzy rules to combine three conspicuity maps instead of linear combination in the basic model of visual attention that does not seem reasonable biologically. In this method, in addition to bottom-up features, top-down cues are also considered in the model. As fuzzy rules are designed using target mask information, top-down characteristics of the target are considered helping the model to make the target more conspicuous in the final saliency map. This can be applied in further processing such as object detection and recognition application. The experimental results show the effectiveness of our new fuzzy approach in finding the target in the first hit. A database of emergency triangle in natural environment background is used in this paper to show the results. Moreover, the comparison of this fuzzy combination approach with some other combination methods also proved the priority of the approach over other combination strategies.

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Index Terms

Computer Science
Information Sciences

Keywords

Visual Attention Salient Point nonlinear Combination Fuzzy Fusion Top-Down Object Detection

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