Vehicle Detection and Counting System for Real-Time Traffic Surveillance

被引：0
|
作者：
Alpatov, Boris A. [1 ]
Babayan, Pavel, V [1 ]
Ershov, Maksim D. [1 ]
机构：
[1] Ryazan State Radio Engn Univ RSREU, Dept Automat & Informat Technol Control, Ryazan, Russia
来源：
2018 7TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2018年
关键词：
traffic surveillance; smart cameras; video analysis; image processing; object detection; background subtraction; line detection;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we are considering road situation analysis tasks for traffic control and ensuring safety. The following image processing algorithms are proposed: vehicle detection and counting algorithm, road marking detection algorithm. The algorithms are designed to process images obtained from a stationary camera. The developed vehicle detection and counting algorithm was implemented and tested also on an embedded platform of smart cameras. The results of experimental research of proposed algorithms are presented.
引用
收藏
页码：120 / 123
页数：4
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