GPU-Accelerated Real-Time Video Background Subtraction

被引：0

作者：

Boghdady, Ramy ^{[1
]}

Salama, Cherif ^{[1
]}

Wahba, Ayman ^{[1
]}

机构：

[1] Ain Shams Univ, Fac Engn, Comp & Syst Engn Dept, Cairo, Egypt

来源：

2015 TENTH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING & SYSTEMS (ICCES) | 2015年

关键词：

Background Subtraction; Single Gaussian Model; GPU-Acceleration; Multiple Videos Processing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Identifying objects of interest in a video sequence is a fundamental and essential part in many vision systems. A common method to achieve that goal is to perform background subtraction. For automated surveillance systems with multiple cameras, real-time background subtraction is particularly important. In this paper, we examine how to exploit GPU parallelism to accelerate the single Gaussian background subtraction algorithm achieving real-time processing of multiple concurrent videos. Experiments performed on a low end GPU showed promising results.

引用

页码：34 / 39

页数：6

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