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Reference TypeConference Paper (Conference Proceedings)
Last Update2020:
Metadata Last Update2020: administrator
Citation KeyJúniorPáOgAlSiBa:2020:WiBoCl
TitleWild boar Classification by Using a Fusion of Texture Analysis Methods
DateNov. 7-10, 2020
Access Date2021, Jan. 19
Number of Files1
Size2773 KiB
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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)
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationVirtual
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2020-09-14 16:54:57 :: -> administrator ::
2020-10-28 20:46:48 :: administrator -> :: 2020
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
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 ( 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).
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Next Higher Units8JMKD3MGPEW34M/43G4L9S
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