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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFRLSE
Repositorysid.inpe.br/sibgrapi/2017/08.21.23.26
Last Update2017:08.21.23.26.52 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.23.26.52
Metadata Last Update2022:06.14.00.09.00 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.35
Citation KeyVilasNovasUsbe:2017:BrDeAp
TitleLive monitoring in poultry houses: a broiler detection approach
FormatOn-line
Year2017
Access Date2024, May 01
Number of Files1
Size2101 KiB
2. Context
Author1 Vilas Novas, Renan
2 Usberti, Fábio Luiz
Affiliation1 Inst. of Comput., Univ. of Campinas (UNICAMP)
2 Inst. of Comput., Univ. of Campinas (UNICAMP)
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressvnovas.renan@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 23:26:52 :: vnovas.renan@gmail.com -> administrator ::
2022-06-14 00:09:00 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsComputer vision
object detection
broiler chickens
image processing
automatic monitoring
AbstractThis paper presents a general framework for live detection of broilers in poultry houses. The challenges for image recognition of broilers are posted by crowded scenes, poor image quality and difficulty in acquiring a benchmark of labeled samples. The proposed framework consists on the use of image thresholding, morphological transformations, feature engineering, in addition to supervised and unsupervised learn- ing techniques. Results show the effectiveness of the proposed framework to detect individual broilers in a poultry house image. Descriptive attributes related to the spatial distribution and movement of the broilers can be extracted using the resultant detections. These attributes can be used by automated warning systems, for the detection of anomalous events and thermal stress conditions.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Live monitoring in...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Live monitoring in...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFRLSE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFRLSE
Languageen
Target FilePID4958805.pdf
User Groupvnovas.renan@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 8
sid.inpe.br/sibgrapi/2022/06.10.21.49 3
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


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