The research of intersection traffic violation system

DOI

10.2991/icmmita-16.2016.109How to use a DOI?

Keywords

Video foreground separation; Lane detection; Hough transform; License plate location.

Abstract

Nowadays most of the traffic system of the General research focuses on key points, such as vehicle contour segmentation precision, the effectiveness of vehicle information, research on intersection traffic violation system there are still big problems. By using CodeBook[2] based on time series algorithm to real-time reconstruction of the video in the background, also add texture feature for foreground options, the better off the vehicle with the outline. Lane detection based on the traditional Hough transform, fine filters combined with the outline of the image itself, more precisely isolate a lane. Access to vehicle information, using the SVM classifier in machine learning methods[3,4] to get the multi-lane vehicle information, reduces the false detection of license plate location in complicated environment, achieving a key part.

Copyright

© 2017, 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  - NanYan Liu
AU  - Peng Hu
PY  - 2017/01
DA  - 2017/01
TI  - The research of intersection traffic violation system
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 587
EP  - 590
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.109
DO  - 10.2991/icmmita-16.2016.109
ID  - Liu2017/01
ER  -