Proceedings of the 2013 International Conference on Advanced ICT and Education

Vehicle Detection Method based on Adap-tive Background Updating Algorithm

Authors
Lin Guo, Xiang-hui Shen
Corresponding Author
Lin Guo
Available Online August 2013.
DOI
https://doi.org/10.2991/icaicte.2013.41How to use a DOI?
Keywords
Adaptive Background Update; Gaussian Mixture Model; Video Vehicle De-tection; Foreground Extraction; Frame Differ-ence Method; Image Compensate Method
Abstract
This paper mainly researches and simulates the adaptive background updating algorithm based on Gaussian Mixture Model (GMM) in video vehicle detection, and it researches on some methods to extract the foreground. Frame difference method uses the brightness difference of two consecutive frames to analy-sis the motion characteristics and the approx-imate location and shape. The improved mage compensate method combines binary video and edge video. And by judging district size, erosion and dilation, disturbing lanes and noise points are successfully removed.
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Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.41How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lin Guo
AU  - Xiang-hui Shen
PY  - 2013/08
DA  - 2013/08
TI  - Vehicle Detection Method based on Adap-tive Background Updating Algorithm
BT  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SP  - 194
EP  - 197
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.41
DO  - https://doi.org/10.2991/icaicte.2013.41
ID  - Guo2013/08
ER  -