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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/438SQCB
Repositorysid.inpe.br/sibgrapi/2020/09.14.16.54
Last Update2020:09.14.16.54.57 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2020/09.14.16.54.57
Metadata Last Update2022:06.14.00.00.02 (UTC) administrator
DOI10.1109/SIBGRAPI51738.2020.00048
Citation KeyJúniorPáOgAlSiBa:2020:WiBoCl
TitleWild boar Classification by Using a Fusion of Texture Analysis Methods
FormatOn-line
Year2020
Access Date2024, Apr. 28
Number of Files1
Size2773 KiB
2. Context
Author1 Júnior, Luís Sílva
2 Pádua, Maricéia
3 Ogusuku, Leonardo
4 Albertini, Marcelo Keese
5 Silva, Renato Aparecido Pimentel da
6 Backes, André Ricardo
Affiliation1 Universidade Federal de Uberlândia
2 Instituto Estadual de Florestas
3 Instituto Estadual de Florestas
4 Universidade Federal de Uberlândia
5 Universidade Federal de Uberlândia
6 Universidade Federal de Uberlândia
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
e-Mail Addressarbackes@yahoo.com.br
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationPorto de Galinhas (virtual)
Date7-10 Nov. 2020
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2020-09-14 16:54:57 :: arbackes@yahoo.com.br -> administrator ::
2022-06-14 00:00:02 :: administrator -> arbackes@yahoo.com.br :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsTexture Analysis
Wild boar
Computer Vision
AbstractIn several countries the wild boar is an invasive species that remains widespread mainly due its adaptability and uncontrolled reproduction. The monitoring of populations of this pest by camera traps is a promising technique. These devices capture a large variety of animals, including native species that share similarities with the wild boar, therefore the precise identification of the animal species is essential to control the wild boars. To address this problem, we evaluated 18 different texture analysis methods on their ability to discriminate between two native ``bush pigs'' species of the Brazilian fauna, collared peccary (\textit{Pecari tajacu}) and white-lipped peccary (\textit{Tayassu pecari}), and one invasive species, wild boar (\textit{Sus scrofa}). Results show that species identification is a difficult task due to the similarities among classes, being the distinction between native and invasive species an easier task, and that combining of texture methods improves the accuracy while diminishes the number of false positives (i.e., native species classified as invasive).
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Wild boar Classification...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Wild boar Classification...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/438SQCB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/438SQCB
Languageen
Target Filemanuscript.pdf
User Grouparbackes@yahoo.com.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/43G4L9S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2020/10.28.20.46 3
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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
7. Description control
e-Mail (login)arbackes@yahoo.com.br
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