1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3RQE3SH |
Repository | sid.inpe.br/sibgrapi/2018/09.10.20.04 |
Last Update | 2018:09.10.20.04.03 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2018/09.10.20.04.03 |
Metadata Last Update | 2022:06.14.00.09.29 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2018.00019 |
Citation Key | Cardenas:2018:MuHuAc |
Title | Multimodal Human Action Recognition Based on a Fusion of Dynamic Images using CNN descriptors |
Format | On-line |
Year | 2018 |
Access Date | 2024, July 27 |
Number of Files | 1 |
Size | 2214 KiB |
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2. Context | |
Author | Cardenas, Edwin Jonathan Escobedo |
Affiliation | Federal University of Ouro Preto |
Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio |
e-Mail Address | edu.escobedo88@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2018-09-10 20:04:03 :: edu.escobedo88@gmail.com -> administrator :: 2022-06-14 00:09:29 :: administrator -> :: 2018 |
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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 | action recognition dynamic images RGB-D data kinect CNN |
Abstract | In this paper, we propose the use of dynamic-images-based approach for action recognition. Specifically, we exploit the multimodal information recorded by a Kinect sensor (RGB-D and skeleton joint data). We combine several ideas from rank pooling and skeleton optical spectra to generate dynamic images to summarize an action sequence into single flow images. We group our dynamic images into five groups: a dynamic color group (DC); a dynamic depth group (DD) and three dynamic skeleton groups (DXY, DYZ, DXZ). As action is composed of different postures along time, we generated N different dynamic images with the main postures for each dynamic group. Next, we applied a pre-trained flow-CNN to extract spatiotemporal features with a max-mean aggregation. The proposed method was evaluated on a public benchmark dataset, the UTD-MHAD, and achieved the state-of-the-art result. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Multimodal Human Action... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Multimodal Human Action... |
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/3RQE3SH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RQE3SH |
Language | en |
Target File | Multimodal_Human_Action_Recognition_Based_on_a_Fusion_of_Dynamic_Images_using_CNN_descriptors.pdf |
User Group | edu.escobedo88@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/3RPADUS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 22 sid.inpe.br/banon/2001/03.30.15.38.24 3 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 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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