DocumentCode
627237
Title
Night mode prohibitory traffic signs detection
Author
Biswas, Rubel ; Khan, Ajmal ; Alom, Md Zahangir ; Khan, Mahrukh
Author_Institution
Dept. of Comput. Sci. & Eng., BRAC Univ., Dhaka, Bangladesh
fYear
2013
fDate
17-18 May 2013
Firstpage
1
Lastpage
5
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.
Keywords
Hough transforms; image colour analysis; image restoration; object detection; traffic engineering computing; Hough transform; dark mode images; multiscale retinex color restoration; night mode prohibitory traffic sign detection; speed limit sign detection; traffic system guidance; traffic system regulation; traffic system warning; Image color analysis; Image edge detection; Image restoration; Intelligent vehicles; Roads; Transforms; Vehicles; Hough transform; MSRCR; Traffic signs;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-0397-9
Type
conf
DOI
10.1109/ICIEV.2013.6572589
Filename
6572589
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