Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (9): 135-139.doi: 10.11896/jsjkx.201000047

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Vehicle Speed Measurement Method Based on Binocular Vision

CHANG Zi-ting1, SHI Yu-qing1, WANG Jun1, YU Ming-he2, YAO Lan3, ZHAO Zhi-bin1,3   

  1. 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)

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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

CLC Number: 

  • TP391
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