1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3C8G5FH |
Repository | sid.inpe.br/sibgrapi/2012/07.06.21.52 |
Last Update | 2012:07.06.21.52.50 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2012/07.06.21.52.50 |
Metadata Last Update | 2022:06.14.00.07.24 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2012.44 |
Citation Key | MirandaViMaLeViCa:2012:ReGeRe |
Title | Real-time gesture recognition from depth data through key poses learning and decision forests |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2024, May 19 |
Number of Files | 1 |
Size | 1840 KiB |
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2. Context | |
Author | 1 Miranda, Leandro 2 Vieira, Thales 3 Martinez, Dimas 4 Lewiner, Thomas 5 Vieira, Antônio W. 6 Campos, Mario F. M. |
Affiliation | 1 Mathematics, UFAL 2 Mathematics, UFAL 3 Mathematics, UFAL 4 Mathematics, PUC-Rio 5 Computer Science, UFMG 6 Computer Science, UFMG |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | thalesv@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto, MG, Brazil |
Date | 22-25 Aug. 2012 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2012-09-20 16:45:34 :: thalesv@gmail.com -> administrator :: 2012 2022-03-08 21:03:22 :: administrator -> menottid@gmail.com :: 2012 2022-03-10 13:01:15 :: menottid@gmail.com -> administrator :: 2012 2022-06-14 00:07:24 :: administrator -> :: 2012 |
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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 recognition Pose identification Depth sensors 3d motion Natural user interface |
Abstract | Human gesture recognition is a challenging task with many applications. The popularization of real time depth sensors even diversifies potential applications to end-user natural user interface (NUI). The quality of such NUI highly depends on the robustness and execution speed of the gesture recognition. This work introduces a method for real-time gesture recognition from a noisy skeleton stream, such as the ones extracted from Kinect depth sensors. Each pose is described using a tailored angular representation of the skeleton joints. Those descriptors serve to identify key poses through a multi-class classifier derived from Support Vector learning machines. The gesture is labeled on-the-fly from the key pose sequence through a decision forest, that naturally performs the gesture time warping and avoids the requirement for an initial or neutral pose. The proposed method runs in real time and shows robustness in several experiments. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Real-time gesture recognition... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Real-time gesture recognition... |
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/3C8G5FH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C8G5FH |
Language | en |
Target File | gesture_learning_sibgrapi_certified.pdf |
User Group | thalesv@gmail.com |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SL8GS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.03.31 6 sid.inpe.br/sibgrapi/2022/06.10.21.49 1 |
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 documentstage 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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