Object Detection Via Optical Information And Background Information

被引：0

作者：

Sun, Xian ^{[1
]}

Zhu, Songhao ^{[1
]}

Cheng, Yanyun ^{[1
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Automat, Nanjing 210023, Jiangsu, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

关键词：

Salient Object Detection; Mean Histogram df Optical Flow; Optical Information; Background Information; MIXTURE; MODEL;

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：

This paper presents a novel method to detect salient objects by exploiting the optical information and background information. Specifically, each video image is first segmented into superpixels; then, the optical information and color information is utilized to obtain the initial result of each salient object; finally, the accurate result of each salient object is obtained by taking into consideration the background information. Experimental results conducted on the SegTrackv2 database demonstrate the the effectiveness of the proposed method.

引用

页码：2002 / 2006

页数：5

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