1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/3U2KT7L |
Repository | sid.inpe.br/sibgrapi/2019/09.10.01.51 |
Last Update | 2019:09.10.01.51.16 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2019/09.10.01.51.16 |
Metadata Last Update | 2022:06.14.00.09.35 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2019.00031 |
Citation Key | BastosMeloSchw:2019:MuReRe |
Title | Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition |
Format | On-line |
Year | 2019 |
Access Date | 2024, May 13 |
Number of Files | 1 |
Size | 863 KiB |
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2. Context | |
Author | 1 Bastos, Igor Leonardo Oliveira 2 Melo, Victor Hugo Cunha de 3 Schwartz, William Robson |
Affiliation | 1 Universidade Federal de Minas Gerais 2 Universidade Federal de Minas Gerais 3 Universidade Federal de Minas Gerais |
Editor | Oliveira, Luciano Rebouças de Sarder, Pinaki Lage, Marcos Sadlo, Filip |
e-Mail Address | igorcrexito@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 32 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 28-31 Oct. 2019 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2019-09-10 01:51:16 :: igorcrexito@gmail.com -> administrator :: 2022-06-14 00:09:35 :: administrator -> igorcrexito@gmail.com :: 2019 |
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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 | Gesture detection gesture recognition recurrent models multi-task |
Abstract | Communication through gestures plays a relevant role in human life, in which a non-verbal language is used to propagate information among individuals. To recognize gestures, computers need to represent and interpret human appearance and motion, involving hands, arms, face, head and/or body, in a mathematical sense. Despite the high applicability in different contexts, most gesture recognition approaches in literature are not designed to deal with unsegmented videos. That is, most approaches do not temporally detect when a gesture occurs, which prevents to explore correlations between detection and recognition tasks, besides their application on real-world scenarios. In this sense, we propose the Multi-Loss Recurrent Residual Network (MLRRN), a multi-task based approach that performs both the recognition and temporal detection of gestures at once. It employs a dual loss function which takes into account the class assignment of each frame of a video to a gesture class and also determines the frame interval associated to each gesture. Our model counts with a dual input, gathering information from appearance and human pose on frames, besides bidirectional recurrent layers and residual modules. According to experiments conducted on ChaLearn Montalbano and ChaLearn ConGD datasets, our approach achieves results comparable to state-of-the-art methods considering average temporal Jaccard metric. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Multi-Loss Recurrent Residual... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Multi-Loss Recurrent Residual... |
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://sibgrapi.sid.inpe.br/ibi/8JMKD3MGPEW34M/3U2KT7L |
zipped data URL | http://sibgrapi.sid.inpe.br/zip/8JMKD3MGPEW34M/3U2KT7L |
Language | en |
Target File | camera_ready_mlrrn.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 | 8JMKD3MGPEW34M/3UA4FNL 8JMKD3MGPEW34M/3UA4FPS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2019/10.25.18.30.33 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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7. Description control | |
e-Mail (login) | igorcrexito@gmail.com |
update | |
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