Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
Cataloged from PDF version of thesis report.
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| Idioma: | English |
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BRAC University
2016
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| Accés en línia: | http://hdl.handle.net/10361/5304 |
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10361-5304 |
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10361-53042022-01-26T10:21:52Z Speed limit traffic sign recognition in night mode based on deformable spatial pyramid Pinku, Subroto Nag Biswas, Rubel Mostakim, Moin Department of Computer Science and Engineering, BRAC University Computer science and engineering CSE Traffic sign recognition Cataloged from PDF version of thesis report. Includes bibliographical references (page 50-51). This thesis report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016. Traffic signs play a vital role in transportation system. Many road accidents occur due to over speed. Detecting and classifying different group of Speed limit traffic signs can save our lives as well as resources. In this research we propose a novel approach towards the detection of these signs. In our proposed system with the help of color and non-color information of traffic signs we first detect the presence of a sign and the classify it. For detection we used circle Hough transformation along with segmentation and labeling. After extracting sign from a scene we match the sign against a classified dataset. We used deformable spatial pyramid matching for recognition of the sign. Once we find a match, our system returns the class or speed limit. Our experiment shows that the recognition rate is very high and we compare our result with another approach at the end. Subroto Nag Pinku B. Computer Science and Engineering 2016-05-22T11:01:36Z 2016-05-22T11:01:36Z 2016 4/20/2016 Thesis ID 11201019 http://hdl.handle.net/10361/5304 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 51 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering CSE Traffic sign recognition |
| spellingShingle |
Computer science and engineering CSE Traffic sign recognition Pinku, Subroto Nag Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Biswas, Rubel |
| author_facet |
Biswas, Rubel Pinku, Subroto Nag |
| format |
Thesis |
| author |
Pinku, Subroto Nag |
| author_sort |
Pinku, Subroto Nag |
| title |
Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| title_short |
Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| title_full |
Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| title_fullStr |
Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| title_full_unstemmed |
Speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| title_sort |
speed limit traffic sign recognition in night mode based on deformable spatial pyramid |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5304 |
| work_keys_str_mv |
AT pinkusubrotonag speedlimittrafficsignrecognitioninnightmodebasedondeformablespatialpyramid |
| _version_ |
1814309609486155776 |