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

共 50 条

[31] COMPUTER VISION SYSTEM FOR AUTOMATIC VEHICLE CLASSIFICATION
YUAN, XD
LU, YJ
SARRAF, S
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1994, 120 (06): : 861 - 876
[32] Vision-based vehicle detection for a driver assistance system
Kuo, Ying-Che
Pai, Neng-Sheng
Li, Yen-Feng
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 61 (08) : 2096 - 2100
[33] A Vision-Based Nighttime Surrounding Vehicle Detection System
Chen, Xiu-Zhi
Liao, Kuan-Kai
Chen, Yen-Lin
Yu, Chao-Wei
Wang, Che
2018 7TH IEEE INTERNATIONAL SYMPOSIUM ON NEXT-GENERATION ELECTRONICS (ISNE), 2018, : 195 - 197
[34] A Driving Assistance System with Vision Based Vehicle Detection Techniques
Dai, Jyun-Min
Wu, Lu-Ting
Lin, Huei-Yung
Tai, Wen-Lung
2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2016,
[35] Vehicle detection system design based on stereo vision sensors
J. Hwang
K. Huh
International Journal of Automotive Technology, 2009, 10 : 373 - 379
[36] A vehicle photoelectric detection system based on guidance of machine vision
Wang, Yawei
Liu, Yu
Chen, Wei
Chen, Jing
Guo, Jia
Zhou, Lijun
Zheng, Haotian
Zhang, Xuantao
SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS 2014, PT II, 2015, 9522
[37] Vehicle detection system design based on stereo vision sensors
Hwang, J.
Huh, K.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2009, 10 (03) : 373 - 379
[38] VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System
Ojha, Apoorva
Sahu, Satya Prakash
Dewangan, Deepak Kumar
PROCEEDINGS OF EMERGING TRENDS AND TECHNOLOGIES ON INTELLIGENT SYSTEMS (ETTIS 2021), 2022, 1371 : 101 - 113
[39] A deep-learning-based computer vision solution for construction vehicle detection
Arabi, Saeed
Haghighat, Arya
Sharma, Anuj
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2020, 35 (07) : 753 - 767
[40] Apple Fruit Detection and Counting Using Computer Vision Techniques
Syal, Anisha
Garg, Divya
Sharma, Shanu
2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 1113 - 1118

← 1 2 3 4 5 →