Salient Region Detection for Object Tracking

被引：0

作者：

Chan, Fan ^{[1
]}

Jiang, Min ^{[2
]}

Tang, Jinshan ^{[2
,3
]}

机构：

[1] Wuhan Univ Sci & Technol, Coll Informat Sci & Engn, Wuhan 430081, Hubei, Peoples R China

[2] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan, Hubei, Peoples R China

[3] Michigan Technol Univ, Sch Technol, Houghton, MI 49931 USA

来源：

MOBILE MULTIMEDIA/IMAGE PROCESSING, SECURITY, AND APPLICATIONS 2012 | 2012年 / 8406卷

关键词：

Salient region detection; object tracking; similarity map; VISUAL-ATTENTION;

D O I：

10.1117/12.921598

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose an algorithm for salient region detection, which can be used in object detection, tracking, video monitoring, and other machine vision fields. The proposed algorithm firstly computes the global similarity between video frames to create a similarity map. Then it finds the coarse positions of moving regions in the similarity map. Finally, the moving objects are obtained by computing color similarity. The experimental results show that the proposed algorithm can detect salient regions effectively and can extract the moving objects in video sequences with static background.

引用

页数：6

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