1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3PF84FS |
Repository | sid.inpe.br/sibgrapi/2017/08.17.23.10 |
Last Update | 2017:08.17.23.10.13 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2017/08.17.23.10.13 |
Metadata Last Update | 2022:06.14.00.08.45 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2017.19 |
Citation Key | TeodoroBernDigi:2017:SkCoSe |
Title | Skin Color Segmentation and Leveshtein Distance Recognition of BSL Signs in Video |
Format | On-line |
Year | 2017 |
Access Date | 2024, Oct. 15 |
Number of Files | 1 |
Size | 2261 KiB |
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2. Context | |
Author | 1 Teodoro, Beatriz Tomazela 2 Bernardes, João 3 Digiampietri, Luciano Antonio |
Affiliation | 1 USP 2 USP 3 USP |
Editor | Torchelsen, 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 Address | beatriz.tomazela@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ, Brazil |
Date | 17-20 Oct. 2017 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2017-08-17 23:10:14 :: beatriz.tomazela@gmail.com -> administrator :: 2022-06-14 00:08:45 :: administrator -> :: 2017 |
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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 | sign language recognition image processing human skin segmentation Brazilian Sign Language LIBRAS |
Abstract | Sign language automatic recognition is an important research area with open challenges that aims to mitigate the obstacles in the daily lives of people who are deaf or hard of hearing and increase their integration in the predominantly hearing society in which we live. This paper implements, evaluates and discusses strategies for automatic recognition of Brazilian Sign Language (BSL) signs, which ultimately aims to simplify the communication between deaf signing in BSL and listeners who do not know this sign language, accomplished through the processing of digital videos of people communicating in BSL without the use of colored gloves or data gloves and sensors or the requirement of high quality recordings in laboratories with controlled backgrounds or lighting. An approach divided in several stages was developed and all stages of the proposed system can be considered contributions for future works in sign language recognition or those involving image processing, human skin segmentation, object tracking etc. For the skin color based segmentation stage, in particular, several techniques were implemented and compared and the strategy used for sign recognition, exploring the Leveshtein distance and a voting scheme with a binary classifier, is unusual in this area and showed good results. From the original 600 samples of 30 words, chosen for frequency of use and superposition of sign elements to make recognition more complex, the system was able to correctly segment 422 (70%) signs, for which it reached 100% accuracy in recognition using our strategy. This sign database with 600 samples in video of the chosen 30 word vocabulary is another of this works contributions and is available upon request to the authors. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Skin Color Segmentation... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Skin Color Segmentation... |
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/8JMKD3MGPAW/3PF84FS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PF84FS |
Language | en |
Target File | Skin_Color_Segmentation_and_Leveshtein_Distance.pdf |
User Group | beatriz.tomazela@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 | 8JMKD3MGPAW/3PKCC58 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 34 sid.inpe.br/sibgrapi/2022/06.10.21.49 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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