Night mode prohibitory traffic signs detection

This conference paper was presented in the2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013; Dhaka; Bangladesh; 17 May 2013 through 18 May 2013 [© 2013 IEEE] The conference paper's definite version is available at: http://dx.doi.org/978-147990397-9

Xehetasun bibliografikoak
Egile Nagusiak: Biswas, Rubel, Khan, Arif, Khan, Mumit, Alom, Md. Zahangir
Formatua: Conference paper
Hizkuntza:English
Argitaratua: © 2013 Institute of Electrical and Electronics Engineers Inc. 2017
Gaiak:
Sarrera elektronikoa:http://hdl.handle.net/10361/7469
id 10361-7469
record_format dspace
spelling 10361-74692019-09-30T03:16:15Z Night mode prohibitory traffic signs detection Biswas, Rubel Khan, Arif Khan, Mumit Alom, Md. Zahangir Hough transform MSRCR Traffic signs This conference paper was presented in the2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013; Dhaka; Bangladesh; 17 May 2013 through 18 May 2013 [© 2013 IEEE] The conference paper's definite version is available at: http://dx.doi.org/978-147990397-9 Prohibitory traffic signs play an important role in guiding, warning and regulating traffic system. As driving over the speed limit is often the major cause of accidents, detecting this group of prohibitory signs may reduce this danger. This paper presents an approach to detecting speed limit signs at night mode which is based on Multi-Scale Retinex Color Restoration and Hough Transform. Experiment to check the strength of this approach shows that approximately 96.6% of the prohibitory traffic signs invoked for this test were successfully detected. This test was carried out at dark mode images from different country. 2017-01-03T06:54:35Z 2017-01-03T06:54:35Z 2013 Conference paper Biswas, R., Khan, A., Alom, M. Z., & Khan, M. (2013). Night mode prohibitory traffic signs detection. Paper presented at the 2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013, doi:10.1109/ICIEV.2013.6572589 978-147990397-9 http://hdl.handle.net/10361/7469 en application/pdf © 2013 Institute of Electrical and Electronics Engineers Inc.
institution Brac University
collection Institutional Repository
language English
topic Hough transform
MSRCR
Traffic signs
spellingShingle Hough transform
MSRCR
Traffic signs
Biswas, Rubel
Khan, Arif
Khan, Mumit
Alom, Md. Zahangir
Night mode prohibitory traffic signs detection
description This conference paper was presented in the2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013; Dhaka; Bangladesh; 17 May 2013 through 18 May 2013 [© 2013 IEEE] The conference paper's definite version is available at: http://dx.doi.org/978-147990397-9
format Conference paper
author Biswas, Rubel
Khan, Arif
Khan, Mumit
Alom, Md. Zahangir
author_facet Biswas, Rubel
Khan, Arif
Khan, Mumit
Alom, Md. Zahangir
author_sort Biswas, Rubel
title Night mode prohibitory traffic signs detection
title_short Night mode prohibitory traffic signs detection
title_full Night mode prohibitory traffic signs detection
title_fullStr Night mode prohibitory traffic signs detection
title_full_unstemmed Night mode prohibitory traffic signs detection
title_sort night mode prohibitory traffic signs detection
publisher © 2013 Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url http://hdl.handle.net/10361/7469
work_keys_str_mv AT biswasrubel nightmodeprohibitorytrafficsignsdetection
AT khanarif nightmodeprohibitorytrafficsignsdetection
AT khanmumit nightmodeprohibitorytrafficsignsdetection
AT alommdzahangir nightmodeprohibitorytrafficsignsdetection
_version_ 1814307108297900032