Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPEW34M/438SQCB |
Repository | sid.inpe.br/sibgrapi/2020/09.14.16.54 |
Last Update | 2020:09.14.16.54.57 arbackes@yahoo.com.br |
Metadata | sid.inpe.br/sibgrapi/2020/09.14.16.54.57 |
Metadata Last Update | 2020:10.28.20.46.48 administrator |
Citation Key | JúniorPáOgAlSiBa:2020:WiBoCl |
Title | Wild boar Classification by Using a Fusion of Texture Analysis Methods  |
Format | On-line |
Year | 2020 |
Date | Nov. 7-10, 2020 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 2773 KiB |
Context area | |
Author | 1 Júnior, Luís Sílva 2 Pádua, Maricéia 3 Ogusuku, Leonardo 4 Albertini, Marcelo Keese 5 Silva, Renato Aparecido Pimentel da 6 Backes, André Ricardo |
Affiliation | 1 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 |
Editor | Musse, Soraia Raupp Cesar Junior, Roberto Marcondes Pelechano, Nuria Wang, Zhangyang (Atlas) |
e-Mail Address | arbackes@yahoo.com.br |
Conference Name | Conference on Graphics, Patterns and Images, 33 (SIBGRAPI) |
Conference Location | Virtual |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2020-09-14 16:54:57 :: arbackes@yahoo.com.br -> administrator :: 2020-10-28 20:46:48 :: administrator -> arbackes@yahoo.com.br :: 2020 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Texture Analysis, Wild boar, Computer Vision. |
Abstract | In 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 ( extit{Pecari tajacu}) and white-lipped peccary ( extit{Tayassu pecari}), and one invasive species, wild boar ( extit{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). |
source Directory Content | there are no files |
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data URL | http://urlib.net/rep/8JMKD3MGPEW34M/438SQCB |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/438SQCB |
Language | en |
Target File | manuscript.pdf |
User Group | arbackes@yahoo.com.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/43G4L9S |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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e-Mail (login) | arbackes@yahoo.com.br |
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