A Computer Vision Based Vehicle Detection and Counting System

被引：58

作者：

Seenouvong, Nilakorn ^{[1
]}

Watchareeruetai, Ukrit ^{[1
]}

Nuthong, Chaiwat ^{[1
]}

Khongsomboon, Khamphong ^{[2
]}

Ohnishi, Noboru ^{[3
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Int Coll, Chalongkrung Rd, Bangkok 10520, Thailand

[2] Natl Univ Laos, Fac Engn, Dept Elect & Telecommun Engn, Lao Thai Rd, Sisattanark Dist, Vientiane Capit, Laos

[3] Nagoya Univ, Grad Sch Informat Sci, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648601, Japan

来源：

2016 8TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY (KST) | 2016年

关键词：

vehicle detection; vehicle counting; virtual detection zone; computer vision;

D O I：

10.1109/KST.2016.7440510

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A vehicle detection and counting system plays an important role in an intelligent transportation system, especially for traffic management. This paper proposes a video-based method for vehicle detection and counting system based on computer vision technology. The proposed method uses background subtraction technique to find foreground objects in a video sequence. In order to detect moving vehicles more accurately, several computer vision techniques, including thresholding, hole filling and adaptive morphology operations, are then applied. Finally, vehicle counting is done by using a virtual detection zone. Experimental results show that the accuracy of the proposed vehicle counting system is around 96%.

引用

页码：224 / 227

页数：4

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