Research on Moving Object Detection Method of High-speed Railway Transport Hub Video Surveillance

被引：2
|
作者：
Xie Zhengyu [1 ]
Jia Limin [1 ]
Qin Yong [1 ]
Wang Li [2 ]
机构：
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[2] Beijing Jiatong Univ, Sch Traff & Transportat, Beijing, Peoples R China
来源：
2012 INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING (ISISE) | 2012年
关键词：
Moving object detection; High-speed railway transport hub; Background subtraction;
D O I：
10.1109/ISISE.2012.117
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Detect moving objects from a video sequence is a fundamental and critical task in many computer vision application. For security forewarning demand of the high-speed railway transport hub video surveillance system, we need a stable, fast and accurate moving object detection method to promptly find the congestion of passenger flow and other dangerous in hub. Through the comparative study on moving object detection, we select average background model to build background and gray area division to improve the processing speed of background modeling. Experiment result shows our method is suitable for high-speed railway transport hub video surveillance.
引用
收藏
页码：315 / 318
页数：4
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