Characters Extraction for Traffic Sign Destination boards in video and still images

Traffic Control Signs or destination boards on roadways offer significant information for drivers. Regulation signs tell something like your speed, turns, etc; Warning signs warn drivers of conditions ahead to help them avoid accidents; Destination signs show distances and directions to various loca...

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Bibliographic Details
Main Author: Peng, Qiu
Format: Others
Language:English
Published: Högskolan Dalarna, Datateknik 2010
Subjects:
RGB
HSV
SVM
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:du-5381
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spelling ndltd-UPSALLA1-oai-dalea.du.se-53812013-01-08T13:51:54ZCharacters Extraction for Traffic Sign Destination boards in video and still imagesengPeng, QiuHögskolan Dalarna, Datateknik2010RGBHSVextract characterSVMTraffic Control Signs or destination boards on roadways offer significant information for drivers. Regulation signs tell something like your speed, turns, etc; Warning signs warn drivers of conditions ahead to help them avoid accidents; Destination signs show distances and directions to various locations; Service signs display location of hospitals, gas and rest areas etc. Because the signs are so important and there is always a certain distance from them to drivers, to let the drivers get information clearly and easily even in bad weather or other situations. The idea is to develop software which can collect useful information from a special camera which is mounted in the front of a moving car to extract the important information and finally show it to the drivers. For example, when a frame contains on a destination drive sign board it will be text something like "Linkoping 50",so the software should extract every character of "Linkoping 50", compare them with the already known character data in the database. if there is extracted character match "k" in the database then output the destination name and show to the driver. In this project C++ will be used to write the code for this software. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:du-5381application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic RGB
HSV
extract character
SVM
spellingShingle RGB
HSV
extract character
SVM
Peng, Qiu
Characters Extraction for Traffic Sign Destination boards in video and still images
description Traffic Control Signs or destination boards on roadways offer significant information for drivers. Regulation signs tell something like your speed, turns, etc; Warning signs warn drivers of conditions ahead to help them avoid accidents; Destination signs show distances and directions to various locations; Service signs display location of hospitals, gas and rest areas etc. Because the signs are so important and there is always a certain distance from them to drivers, to let the drivers get information clearly and easily even in bad weather or other situations. The idea is to develop software which can collect useful information from a special camera which is mounted in the front of a moving car to extract the important information and finally show it to the drivers. For example, when a frame contains on a destination drive sign board it will be text something like "Linkoping 50",so the software should extract every character of "Linkoping 50", compare them with the already known character data in the database. if there is extracted character match "k" in the database then output the destination name and show to the driver. In this project C++ will be used to write the code for this software.
author Peng, Qiu
author_facet Peng, Qiu
author_sort Peng, Qiu
title Characters Extraction for Traffic Sign Destination boards in video and still images
title_short Characters Extraction for Traffic Sign Destination boards in video and still images
title_full Characters Extraction for Traffic Sign Destination boards in video and still images
title_fullStr Characters Extraction for Traffic Sign Destination boards in video and still images
title_full_unstemmed Characters Extraction for Traffic Sign Destination boards in video and still images
title_sort characters extraction for traffic sign destination boards in video and still images
publisher Högskolan Dalarna, Datateknik
publishDate 2010
url http://urn.kb.se/resolve?urn=urn:nbn:se:du-5381
work_keys_str_mv AT pengqiu charactersextractionfortrafficsigndestinationboardsinvideoandstillimages
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