Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

The Design and Implementation of Traffic Accident Identification System Based On Video

Authors
Xiang Chenwei, Wang Tuo
Corresponding Author
Xiang Chenwei
Available Online November 2013.
DOI
10.2991/icmt-13.2013.109How to use a DOI?
Keywords
computer vision, intelligent transportation system, traffic accident identification, video, traffic accident management
Abstract

With the rapid growth of the count of vehicles, congestion and traffic accidents frequently occur. The situation triggers a series of social problems. The application research on computer vision and digital image processing system is presented in this paper provides a real-time method which identify traffic accident and manage the traffic accident more convenient, accurate and efficient .The system also offer the technologies to analysis the traffic accident management information, traffic accident rescue and responsibility determination.

Copyright
© 2013, 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 3rd International Conference on Multimedia Technology(ICMT-13)
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/icmt-13.2013.109
ISSN
1951-6851
DOI
10.2991/icmt-13.2013.109How to use a DOI?
Copyright
© 2013, 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  - Xiang Chenwei
AU  - Wang Tuo
PY  - 2013/11
DA  - 2013/11
TI  - The Design and Implementation of Traffic Accident Identification System Based On Video
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 880
EP  - 887
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.109
DO  - 10.2991/icmt-13.2013.109
ID  - Chenwei2013/11
ER  -