Vehicle Detection Method based on Adap-tive Background Updating Algorithm

DOI

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.

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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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  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 194
EP  - 197
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.41
DO  - 10.2991/icaicte.2013.41
ID  - Guo2013/08
ER  -