1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/4394BDS |
Repository | sid.inpe.br/sibgrapi/2020/09.15.17.37 |
Last Update | 2020:09.15.17.37.12 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2020/09.15.17.37.12 |
Metadata Last Update | 2022:06.14.00.00.03 (UTC) administrator |
DOI | 10.1109/SIBGRAPI51738.2020.00018 |
Citation Key | SantosBastMaciLima:2020:CoVeHi |
Title | Counting Vehicle with High-Precision in Brazilian Roads Using YOLOv3 and Deep SORT |
Format | On-line |
Year | 2020 |
Access Date | 2024, Dec. 21 |
Number of Files | 1 |
Size | 1356 KiB |
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2. Context | |
Author | 1 Santos, Adson M. 2 Bastos-Filho, Carmelo J. A. 3 Maciel, Alexandre M. A. 4 Lima, Estanislau |
Affiliation | 1 University of Pernambuco 2 University of Pernambuco 3 University of Pernambuco 4 University of Pernambuco |
Editor | Musse, Soraia Raupp Cesar Junior, Roberto Marcondes Pelechano, Nuria Wang, Zhangyang (Atlas) |
e-Mail Address | ams2@ecomp.poli.br |
Conference Name | Conference on Graphics, Patterns and Images, 33 (SIBGRAPI) |
Conference Location | Porto de Galinhas (virtual) |
Date | 7-10 Nov. 2020 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2020-09-15 17:37:12 :: ams2@ecomp.poli.br -> administrator :: 2022-06-14 00:00:03 :: administrator -> ams2@ecomp.poli.br :: 2020 |
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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 | Computer Vision Vehicle Count Traffic Monitoring System Object Detection Multiple Object Tracking |
Abstract | The Brazilian National Department of Transport Infrastructure (DNIT) maintains the National Traffic Counting Plan (PNCT). The main goal of PNCT is to evaluate the current flow of traffic on federal highways aiming to define public policies. However, DNIT still performs the quantitative classificatory surveys not automated or with invasive equipment. It is crucial for conducting traffic studies to search for more modern solutions to accomplish a higher number of automated non-invasive, and low-cost classificatory surveys. This paper proposes a system that uses YOLOv3 for object detection and the Deep SORT for multiple objects tracking algorithms. From the results over real-world videos collected in Brazilian roads, we obtained a precision above 90% in the global vehicle count. We also show that our proposal outperformed other previously proposed tools with 99.15% precision in public datasets. We believe this paper's proposal allows the development of a traffic analysis tool to be used for the automation of the volumetric traffic surveys, enabling to improve the DNIT agility and generating economy for the public coffers. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Counting Vehicle with... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Counting Vehicle with... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/4394BDS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/4394BDS |
Language | en |
Target File | Article Sibgrapi_2020___Counting Vehicle with High-Precision_Final_CamaraReady.pdf |
User Group | ams2@ecomp.poli.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 | 8JMKD3MGPEW34M/43G4L9S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2020/10.28.20.46 52 sid.inpe.br/sibgrapi/2022/06.10.21.49 8 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
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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7. Description control | |
e-Mail (login) | ams2@ecomp.poli.br |
update | |
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