1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JMJ79L |
Repository | sid.inpe.br/sibgrapi/2015/06.18.19.06 |
Last Update | 2015:06.18.19.07.06 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/06.18.19.06.04 |
Metadata Last Update | 2022:06.14.00.08.03 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2015.26 |
Citation Key | BastosAngeLoul:2015:ReStGe |
Title | Recognition of Static Gestures Applied to Brazilian Sign Language (Libras) |
Format | On-line |
Year | 2015 |
Access Date | 2024, Apr. 26 |
Number of Files | 1 |
Size | 431 KiB |
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2. Context | |
Author | 1 Bastos, Igor Leonardo Oliveira 2 Angelo, Michele Fúlvia 3 Loula, Angelo Conrado |
Affiliation | 1 Federal University of Bahia - UFBA 2 State University of Feira de Santana - UEFS 3 State University of Feira de Santana - UEFS |
Editor | Papa, João Paulo Sander, Pedro Vieira Marroquim, Ricardo Guerra Farrell, Ryan |
e-Mail Address | igorcrexito@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2015-06-18 19:07:06 :: igorcrexito@gmail.com -> administrator :: 2015 2022-06-14 00:08:03 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Histogram of Oriented Gradients Zernike Invariant Moments Neural Networks Gesture Recognition Libras |
Abstract | This paper aims at describing an approach developed for the recognition of gestures on digital images. In this way, two shape descriptors were used: the histogram of oriented gradients (HOG) and Zernike invariant moments (ZIM). A feature vector composed by the information acquired with both descriptors was used to train and test a two stage Neural Network, which is responsible for performing the recognition. In order to evaluate the approach in a practical context, a dataset containing 9600 images representing 40 different gestures (signs) from Brazilian Sign Language (Libras) was composed. This approach showed high recognition rates (hit rates), reaching a final average of 96.77%. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Recognition of Static... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Recognition of Static... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JMJ79L |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JMJ79L |
Language | en |
Target File | PID3766353.pdf |
User Group | igorcrexito@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 7 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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