Evaluation of Real-time Performance for BGSLibrary Algorithms: A Case Study on Traffic Surveillance Video

被引：0
|
作者：
Kul, Seda [1 ]
Eken, Suleyman [1 ]
Sayar, Ahmet [1 ]
机构：
[1] Kocaeli Univ, Dept Comp Engn, Izmit, Turkey
来源：
2016 6TH INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS 2016) | 2016年
关键词：
background subtraction; BGSLibrary; real-time data; intellegent traffic management systems; topic based publish-subscribe;
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：
Video surveillance systems have been used in various applications such as traffic monitoring, detecting military threats and public safety. In this study, we evaluate real-time performance for BGSLibrary (Background Subtraction Library) algorithms on well-known datasets, which are Background Models Challenge (BMC) and ChangeDetection.
引用
收藏
页码：40 / 43
页数：4
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