The research of intersection traffic violation system
- 10.2991/icmmita-16.2016.109How to use a DOI?
- Video foreground separation; Lane detection; Hough transform; License plate location.
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 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.
- © 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/).
Cite this article
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 -