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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M9JT2L
Repositorysid.inpe.br/sibgrapi/2016/08.16.09.03
Last Update2016:08.16.09.03.31 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.16.09.03.31
Metadata Last Update2022:05.18.22.21.08 (UTC) administrator
Citation KeyLuvizonNassMine:2016:VeSpEs
TitleVehicle Speed Estimation by License Plate Detection and Tracking
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size3412 KiB
2. Context
Author1 Luvizon, Diogo Carbonera
2 Nassu, Bogdan Tomoyuki
3 Minetto, Rodrigo
Affiliation1 Federal University of Technology - Paraná (UTFPR)
2 Federal University of Technology - Paraná (UTFPR)
3 Federal University of Technology - Paraná (UTFPR)
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressdiogoluvizon@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2016-08-16 09:03:31 :: diogoluvizon@gmail.com -> administrator ::
2022-05-18 22:21:08 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsvehicle speed
speed measurement
license plate detection
feature traking
AbstractWe propose a non-intrusive methodology, based on digital videos, for measuring vehicle speeds by detecting and tracking license plates a technology that does not exist in Brazil. We proposed novel algorithms for detecting regions containing moving vehicles, as well as their license plates. Each vehicles speed is then estimated by tracking the license plates and applying geometric transformations. Experiments were performed on videos containing 8,000 vehicles, associated to speeds measured by a precise inductive loop detector. The average speed measurement error was -0.5 km/h, staying inside the +2/-3 km/h margin determined by international regulatory agencies, in more than 96% of the cases.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Vehicle Speed Estimation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 16/08/2016 06:03 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M9JT2L
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M9JT2L
Languageen
Target Filesibgrapi_2016_luvizon.pdf
User Groupdiogoluvizon@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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