Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Speed Identification Based on Surveillance Video in Traffic Accidents

Authors
Shuquan Xu, Shengwen Yang, Chaozhou Chen, Guofang Wu
Corresponding Author
Shuquan Xu
Available Online January 2016.
DOI
10.2991/icca-16.2016.4How to use a DOI?
Keywords
Traffic accidents, Identification of velocity, Vehicle-mounted surveillance video
Abstract

Traditional analytical methods on the velocity in traffic accident are summarized, and the use of reference object in vehicle-mounted surveillance video data identifying the velocity in traffic accidents was introduced. A collision between a bus and an electric bicycle which caused injuries was taken as an example, the velocity of buses and electric bicycle before the incident were calculated, and the braking process of the bus was analyzed, and the results were checked based on brake marks. Through the comparison, the velocity of the bus calculated by the vehicle-mounted surveillance video data, the discrepancy was only 0.19 km/h. According to the velocity obtained from brake marks, which showed that the applicability of the results calculated by vehicle-mounted surveillance video is preferable.

Copyright
© 2016, 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 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-154-4
ISSN
2352-538X
DOI
10.2991/icca-16.2016.4How to use a DOI?
Copyright
© 2016, 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  - Shuquan Xu
AU  - Shengwen Yang
AU  - Chaozhou Chen
AU  - Guofang Wu
PY  - 2016/01
DA  - 2016/01
TI  - Speed Identification Based on Surveillance Video in Traffic Accidents
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 11
EP  - 15
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.4
DO  - 10.2991/icca-16.2016.4
ID  - Xu2016/01
ER  -