MATEC Web Conf.
Volume 132, 2017XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017)
|Number of page(s)||4|
|Section||Cognitive methods of heterogeneous data analysis|
|Published online||31 October 2017|
Algorithm for detecting violations of traffic rules based on computer vision approaches
1 Institute of Services Sector and Entrepreneurship (branch), Don State Technical University, 344010, Rostov-on-Don, Russia
2 Institute Radioengineering Systems and Control, Southern Federal University, 344006, Rostov-on-Don, Russia
* Corresponding author: firstname.lastname@example.org
We propose a new algorithm for automatic detect violations of traffic rules for improving the people safety on the unregulated pedestrian crossing. The algorithm uses multi-step proceedings. They are zebra detection, cars detection, and pedestrian detection. For car detection, we use faster R-CNN deep learning tool. The algorithm shows promising results in the detection violations of traffic rules.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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