@inproceedings{84e43b5eaa404de49f9bf815451527d2,
title = "Salient Object Detection Based on Background Model",
abstract = "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.",
keywords = "Bottom-up model, Computer vision, Object detection, Salient object, Visual attention",
author = "Yanbang Zhang and Fen Zhang and Lei Guo",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8484108",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "9374--9378",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
}