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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45DNFM2
Repositorysid.inpe.br/sibgrapi/2021/09.11.15.00
Last Update2021:09.11.15.00.11 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.11.15.00.11
Metadata Last Update2022:09.10.00.16.17 (UTC) administrator
Citation KeyMedeirosGomeGonç:2021:TaDeUs
TitleTargets Detection Using Multiple Foveas
FormatOn-line
Year2021
Access Date2024, May 06
Number of Files1
Size2268 KiB
2. Context
Author1 Medeiros, Petrucio Ricardo Tavares
2 Gomes, Rafael Beserra
3 Gonçalves, Luiz Marcos Garcia
Affiliation1 Department of Computer Engineering, Federal University of Rio Grande do Norte
2 Department of Computer Science and Applied Mathematics, Federal University of Rio Grande do Norte
3 Department of Computer Engineering, Federal University of Rio Grande do Norte
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addresspetrucio.medeiros.082@ufrn.edu.br
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado, RS, Brazil (virtual)
Date18-22 Oct. 2021
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2021-09-11 15:00:11 :: petrucio.medeiros.082@ufrn.edu.br -> administrator ::
2022-09-10 00:16:17 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsMultifoveation
target detection
gradient descent
maximum likelihood
trilateration and barycentric coordinates
AbstractTarget detection enables running a robotic task. However, their limited resources make large amount of data processing harder. Image foveation is an approach that can reduce processing demand by reducing the amount of data to be processed. However, as an important visual stimulli can be attenuated by this reduction, some strategy should be applied in order to keep/recover awareness of it. This work compares gradient descent (potential field), maximum likelihood, multilateration, trilateration, and barycentric coordinates to solve this problem in a multiple mobile foveas context. Our results demonstrate that the proposed methodology detects the target converging with an average euclidian distance of 51 pixels from the target's center position.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2021 > Targets Detection Using...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45DNFM2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45DNFM2
Languageen
Target Filepaper.pdf
User Grouppetrucio.medeiros.082@ufrn.edu.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/45PQ3RS
Citing Item Listsid.inpe.br/sibgrapi/2021/11.12.11.46 5
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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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