基于双目视觉的车辆速度测量方法

doi:10.11896/jsjkx.201000047

计算机科学 ›› 2021, Vol. 48 ›› Issue (9): 135-139.doi: 10.11896/jsjkx.201000047

• 计算机图形学&多媒体 • 上一篇下一篇

基于双目视觉的车辆速度测量方法

常子霆¹, 施雨晴¹, 王俊¹, 于明鹤², 姚兰³, 赵志滨^1,3

1 东北大学计算机科学与工程学院沈阳110819
2 东北大学软件学院沈阳110819
3 沈阳帝信人工智能产业研究院有限公司沈阳110121

收稿日期:2020-10-11 修回日期:2020-11-23 出版日期:2021-09-15 发布日期:2021-09-10
通讯作者: 赵志滨(zhaozb@mail.neu.edu.cn)
作者简介:1871485@stu.neu.edu.cn
基金资助:
国家自然科学基金青年科学基金项目(61902055)

Vehicle Speed Measurement Method Based on Binocular Vision

CHANG Zi-ting¹, SHI Yu-qing¹, WANG Jun¹, YU Ming-he², YAO Lan³, ZHAO Zhi-bin^1,3

1 School of Computer Science and Engineering,Northeast University,Shenyang 110819,China
2 School of Software,Northeast University,Shenyang 110819,China
3 Shenyang Dixin Artificial Intelligence Industry Research Institute Co.,Ltd,Shenyang 110121,China

Received:2020-10-11 Revised:2020-11-23 Online:2021-09-15 Published:2021-09-10
About author:CHANG Zi-ting,born in 1996,postgra-duate,is a member of China Computer Federation.His main research interests include computer vision and so on.
ZHAO Zhi-bin,born in 1975,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include big data mana-gement and query optimization,image processing,text analysis and so on.
Supported by:
National Natural Science Foundation of China Project (61902055)

摘要/Abstract

摘要： 为配合高速公路入口处的货车称重工作,需要测量车辆通过称重台时的实时速度。利用双目视觉技术测速具有成本低、部署简单、稳定性高的优点,具有广阔的应用前景。双目视觉测速的技术难点是目标的位移测量,其核心问题是目标在多帧图像间的精准匹配。文中提出了一种基于空间位置的匹配区域对齐算法与基于模板匹配的空间位移计算方法。具体地,利用车轮的空间位置关系来限制车轮的匹配区域,可有效降低相似车轮的误匹配问题;使用模板匹配的方法追踪车轮的关键点,进而获得多帧之间车轮的空间位移。使用某高速公路入口的真实通行视频数据进行实验验证,结果表明,与其他双目测速方法相比,所提方法使得测速结果的RMSE下降了20%~40%,且更加适用于车辆以较快速度(10~20 km/h)通过高速公路入口测速点的实际场景。

关键词: 车速测量, 模板匹配, 匹配区域对齐, 双目视觉

Abstract: Real-time speed measurement is a vital issue to assist truck weighing at the entrance of expressway when a truck passes through a scale.Binocular vision technology technically has the advantages of low cost,easy deployment and high stability,which qualify it a potential for prospective application.The key point for binocular vision based speed measurement is displacement-measuring of a target,which is subject to accurate target matching in multiple frames.This paper presents an alignment algorithm on region matching based on spatial location and a calculation method for spatial displacement based on template ma-tching.Specifically,relative spatial location of a wheel is introduced to restrain its matching area,which effectively reduces the mismatching on similar wheels; template matching is derived to track the key points of a wheel for spatial displacement between multiple frames.The practical traffic video data taken at an expressway entrance is applied to experiments.The results show that,compared with other binocular vision based speed measurement methods,our method declines the RMSE of the speed measurement results by 20%～40%,and it more suitable for the real scene when vehicles pass the speed measurement point at the entrance of expressway at a relatively high speed(10~20 km/h).

Key words: Alignment on region matching, Binocular vision, Template matching, Vehicle speed measurement

中图分类号:

TP391

常子霆, 施雨晴, 王俊, 于明鹤, 姚兰, 赵志滨. 基于双目视觉的车辆速度测量方法[J]. 计算机科学, 2021, 48(9): 135-139. https://doi.org/10.11896/jsjkx.201000047

CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin. Vehicle Speed Measurement Method Based on Binocular Vision[J]. Computer Science, 2021, 48(9): 135-139. https://doi.org/10.11896/jsjkx.201000047

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基于双目视觉的车辆速度测量方法

Vehicle Speed Measurement Method Based on Binocular Vision

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