Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RPBTD2
Repositorysid.inpe.br/sibgrapi/2018/09.04.04.48
Last Update2018:09.04.04.48.50 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/09.04.04.48.50
Metadata Last Update2022:06.14.00.09.25 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00020
Citation KeyMeloSaCaSoPeSc:2018:ObTeSe
TitleObject-based Temporal Segment Relational Network for Activity Recognition
FormatOn-line
Year2018
Access Date2024, May 03
Number of Files1
Size832 KiB
2. Context
Author1 Melo, Victor Hugo Cunha de
2 Santos, Jesimon Barreto
3 Caetano Júnior, Carlos Antônio
4 Souza, Jéssica Sena de
5 Penatti, Otávio Augusto Bizetto
6 Schwartz, William Robson
Affiliation1 Smart Sense Laboratory, Universidade Federal de Minas Gerais
2 Smart Sense Laboratory, Universidade Federal de Minas Gerais
3 Smart Sense Laboratory, Universidade Federal de Minas Gerais
4 Smart Sense Laboratory, Universidade Federal de Minas Gerais
5 Advanced Technologies, Samsung Research Institute
6 Smart Sense Laboratory, Universidade Federal de Minas Gerais
EditorRoss, 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 Addressvictorhcmelo@dcc.ufmg.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-09-04 04:48:50 :: victorhcmelo@dcc.ufmg.br -> administrator ::
2022-06-14 00:09:25 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsAction recognition
contextual cues
relational reasoning
AbstractVideo understanding is the next frontier of computer vision, in which activity recognition plays a major role. Despite the recent improvements in holistic activity recognition, further researching part-based models such as context may allow us to better understand what is important for activities and thus improve our current activity recognition models. This work tackles contextual cues obtained from object detections, in which we posit that objects relevant to an action are related to its spatial arrangement regarding an agent. Based on that, we propose Egocentric Pyramid to encode such spatial relationships. We further extend it by proposing a data-centric approach named Temporal Segment Relational Network (TSRN). Our experiments give support to the hypothesis that object spatiality provides an important clue to activity recognition. In addition, our data-centric approach shows that besides such spatial features, there may be other important information that further enhances the object-based activity recognition, such as co-occurrence, relative size, and temporal information.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Object-based Temporal Segment...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Object-based Temporal Segment...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 04/09/2018 01:48 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RPBTD2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RPBTD2
Languageen
Target FilePaper ID 98.pdf
User Groupvictorhcmelo@dcc.ufmg.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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


Close