1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3RPASL5 |
Repository | sid.inpe.br/sibgrapi/2018/09.03.23.11 |
Last Update | 2018:09.07.22.19.08 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2018/09.03.23.11.47 |
Metadata Last Update | 2022:06.14.00.09.23 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2018.00021 |
Citation Key | GonçalvesDinLarMenSch:2018:ReAuLi |
Title | Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks |
Format | On-line |
Year | 2018 |
Access Date | 2024, Apr. 29 |
Number of Files | 1 |
Size | 4161 KiB |
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2. Context | |
Author | 1 Gonçalves, Gabriel Resende 2 Diniz, Matheus Alves 3 Laroca, Rayson 4 Menotti, David 5 Schwartz, William Robson |
Affiliation | 1 Universidade Federal de Minas Gerais 2 Universidade Federal de Minas Gerais 3 Universidade Federal do Paraná 4 Universidade Federal do Paraná 5 Universidade Federal de Minas Gerais |
Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio |
e-Mail Address | gabrielrg@dcc.ufmg.br |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2018-09-04 14:03:57 :: gabrielrg@dcc.ufmg.br -> administrator :: 2018 2018-09-04 16:41:03 :: administrator -> gabrielrg@dcc.ufmg.br :: 2018 2018-09-07 22:19:08 :: gabrielrg@dcc.ufmg.br -> administrator :: 2018 2022-06-14 00:09:23 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | automatic license plate recognition deep learning multi-task learning traffic surveillance real-time |
Abstract | With the increasing number of cameras available in the cities, video traffic analysis can provide useful insights for the transportation segment. One of such analysis is the Automatic License Plate Recognition (ALPR). Previous approaches divided this task into several cascaded subtasks, i.e., vehicle location, license plate detection, character segmentation and optical character recognition. However, since each task has its own accuracy, the error propagation between each subtask is detrimental to the final accuracy. Therefore, focusing on the reduction of error propagation, we propose a technique that is able to perform ALPR using only two deep networks, the first performs license plate detection (LPD) and the second performs license plate recognition (LPR). The latter does not execute explicit character segmentation, which reduces significantly the error propagation. As these deep networks need a large number of samples to converge, we develop new data augmentation techniques that allow them to reach their full potential as well as a new dataset to train and evaluate ALPR approaches. According to experimental results, our approach is able to achieve state-of-the-art results in the SSIG-SegPlate dataset, reaching improvements up to 1.4 percentage point when compared to the best baseline. Furthermore, the approach is also able to perform in real time even in scenarios where many plates are present at the same frame, reaching significantly higher frame rates when compared with previously proposed approaches. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Real-time Automatic License... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Real-time Automatic License... |
doc Directory Content | access |
source Directory Content | paper44.pdf | 04/09/2018 11:03 | 4.1 MiB | |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3RPASL5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RPASL5 |
Language | en |
Target File | paper44.pdf |
User Group | gabrielrg@dcc.ufmg.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 7 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume |
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