Research on Vehicle Detection Method Based on Background Modeling

DOI

10.2991/icsnce-18.2018.40How to use a DOI?

Keywords

Vehicle Detection; Background Modeling; Inter-frame Difference; Morphological Method

Abstract

This paper mainly studies the background difference method in the field of intelligent traffic, proposes a background modeling method base on frame difference, and compares it with the statistical average background model and Gaussian distribution background modeling method. Vehicle contour obtained by the morphological method. Finally, experiments were carried out on 4 normal road traffic surveillance videos, the effective detection rate used in this paper reaches 93.75%, which has a certain degree of application. The algorithm model need to be further tested in more complex weather and different road conditions.

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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TY  - CONF
AU  - Lian Zhichao
AU  - Wang Zhongsheng
PY  - 2018/04
DA  - 2018/04
TI  - Research on Vehicle Detection Method Based on Background Modeling
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 204
EP  - 207
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.40
DO  - 10.2991/icsnce-18.2018.40
ID  - Zhichao2018/04
ER  -