| dc.contributor.author | Biswas, Rubel | |
| dc.contributor.author | Khan, Arif | |
| dc.contributor.author | Khan, Mumit | |
| dc.contributor.author | Alom, Md. Zahangir | |
| dc.date.accessioned | 2017-01-03T06:54:35Z | |
| dc.date.available | 2017-01-03T06:54:35Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | 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 | en_US |
| dc.identifier.isbn | 978-147990397-9 | |
| dc.identifier.uri | http://hdl.handle.net/10361/7469 | |
| dc.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 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | © 2013 Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.subject | Hough transform | en_US |
| dc.subject | MSRCR | en_US |
| dc.subject | Traffic signs | en_US |
| dc.title | Night mode prohibitory traffic signs detection | en_US |
| dc.type | Conference paper | en_US |
