In this thesis, video frames acquired by a camera in a moving car are processed for
detection of candidates of triangular, rectangular and circular traffic/road signs based
on mainly shape information by performing contour analysis. Color information is
utilized as an auxiliary method to improve detection. Then recognition based on
template matching is realized on detected traffic/road sign candidates. Detection and
recognition results of traffic/road signs in video frames taken in different time
intervals of day for these methods are compared.
After implementation, results show that the video scene taken in a sunny day in the
afternoon gives better results than others. Binary threshold plays a great role in
detection with respect to Canny edge detector especially for triangular and rectangular traffic signs. Higher number of binary threshold levels improves
detection in general. In addition, the recognition rate for triangular and rectangular
traffic/road signs is higher than that of circular sings in general by the methods used
in this study.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12607935/index.pdf |
| Date | 01 November 2006 |
| Creators | Havur, Mehmet Bulent |
| Contributors | Bulut, Mehmet Mete |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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