Salient Object Detection Based on Background Model

被引：0

作者：

Zhang, Yanbang ^{[1
,2
]}

Zhang, Fen ^{[1
,3
]}

Guo, Lei ^{[2
]}

机构：

[1] Xianyang Normal Univ, Coll Math & Informat Sci, Xianyang 712000, Peoples R China

[2] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China

[3] Xidian Univ, Dept Automat Control, Xian 710071, Shaanxi, Peoples R China

来源：

2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年

关键词：

Computer vision; object detection; visual attention; salient object; bottom-up model; VISUAL-ATTENTION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a novel bottom-up method for detecting salient object. First, a coarse saliency map is generated by according to the biggest symmetric surround model and the color distribution-based model. And then, we design a Gauss filter to enhance the coarse saliency map, and preliminarily establish the background model. Next, the salient feature is defined as the color contrast between background region and the rest. Extensive experiments show the performance of the proposed method which performs better in five evaluation indexes.

引用

页码：9374 / 9378

页数：5

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