1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45E886B |
Repository | sid.inpe.br/sibgrapi/2021/09.14.12.33 |
Last Update | 2021:10.05.19.52.34 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.14.12.33.11 |
Metadata Last Update | 2022:09.10.00.16.17 (UTC) administrator |
Citation Key | WojcikMenoHill:2021:SeGrGe |
Title | Segmentation and graph generation of muzzle images for cattle identification |
Format | On-line |
Year | 2021 |
Access Date | 2024, May 11 |
Number of Files | 1 |
Size | 935 KiB |
|
2. Context | |
Author | 1 Wojcik, Lucas Matheus Leite 2 Jorge Junior 3 Menotti, David 4 Hill, João |
Affiliation | 1 Federal University of Paraná (UFPR) 2 Federal University of Paraná (UFPR) 3 Federal University of Paraná (UFPR) 4 Institute of Rural Development of Paraná (IDR) |
Editor | Paiva, 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 Address | lasse1999st@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Work in Progress |
History (UTC) | 2021-10-05 19:52:34 :: lasse1999st@gmail.com -> administrator :: 2021 2022-09-10 00:16:17 :: administrator -> :: 2021 |
|
3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Animal biometrics Computer vision Pattern recognition |
Abstract | The current methods for the organizing the records (i.e., cataloguing) of cattle are known to be archaic and inefficient, and often harmful to the animal. Such methods include the use of metal tags attached to the animal's ears like earrings and of branding irons on their necks. Previous research on new methods of livestock branding based on computer vision techniques utilized a mixture of texture features such as Gabor Filters and Local Binary Pattern as a means of extracting identifying features for each animal. The presented approach proposes a new technique using the muzzle image as an individual identifier as a novel technique, assuming that the muzzle RoI taken as input for the model pipeline is already extracted and cropped. This task is performed in three steps. First, the muzzle image is segmented via a convolutional neural network, resulting in a bitmap from which a graph structure is extracted in the second phase. The final phase consists of matching the resulting graph with the ones previously extracted and stored in the database for an optimal match. The results for the segmentation quality show a fidelity of around seventy percent, while the extracted graph perfectly represents the extracted bitmap. The matching algorithm is currently in progress. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > Segmentation and graph... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
|
4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45E886B |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45E886B |
Language | en |
Target File | 2021_WIP_IDR_SegmentMatch(4).pdf |
User Group | lasse1999st@gmail.com |
Visibility | shown |
|
5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 3 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
|
6. Notes | |
Empty Fields | archivingpolicy 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 |
|