Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Study on Vehicle Location in Road Traffic Accident Based on Surveillance Video and Vanishing Point

Authors
Aowen Duan, Wenjun Liu, Hongchun Jia, Zhiyong Yin
Corresponding Author
Aowen Duan
Available Online March 2018.
DOI
10.2991/mecae-18.2018.99How to use a DOI?
Keywords
surveillance video, vanishing point, road traffic accident, distance measurement
Abstract

To solve the problem that it is difficult to obtain the accurate locations of target objects directly by the surveillance video in Road Traffic Accidents, this paper presents a method of measuring the relative position of vehicles on the road surface by using vanishing point principle to mesh the surveillance video frames. In a road traffic accident with surveillance video, this method was applied to analyze the dynamic positional relationship between vehicles and marking lines on the road surface. The accurate moving tracks of 2 vehicles involved were obtained and the measurement accuracy was verified. The result shows that the measurement errors are less than 3%, proving that this method has a guiding effect on obtaining the accurate locations of vehicles in Road Traffic Accidents. It can be applied to traffic accidents with surveillance video to determine the accurate locations of target objects in the process, thus providing necessary data for subsequent accident reconstruction and injury reconstruction.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
10.2991/mecae-18.2018.99How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aowen Duan
AU  - Wenjun Liu
AU  - Hongchun Jia
AU  - Zhiyong Yin
PY  - 2018/03
DA  - 2018/03
TI  - Study on Vehicle Location in Road Traffic Accident Based on Surveillance Video and Vanishing Point
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 467
EP  - 474
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.99
DO  - 10.2991/mecae-18.2018.99
ID  - Duan2018/03
ER  -