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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JRK52L
Repositorysid.inpe.br/sibgrapi/2015/07.13.14.36
Last Update2015:07.13.14.36.06 (UTC) administrator
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Metadata Last Update2016:06.03.21.18.36 (UTC) administrator
Citation KeyMotaDiaSanVieAra:2015:TeClHu
TitleTensor Clustering for Human Action Recognition
FormatOn-line
Year2015
Access Date2021, Dec. 07
Number of Files1
Size929 KiB
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Author1 Mota, Virginia Fernandes
2 Dias, Gabriel Dutra
3 Santos, Wisney Tadeu dos
4 Vieira, Marcelo Bernardes
5 Araújo, Arnaldo de Albuquerque
Affiliation1 NPDI/DCC/UFMG and COLTEC/UFMG
2 COLTEC/UFMG
3 COLTEC/UFMG
4 GCG/DCC/UFJF
5 NPDI/DCC/UFMG
EditorRios, Ricardo Araujo
Paiva, Afonso
e-Mail Addressvirginiafernandesmota@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-13 14:36:06 :: virginiafernandesmota@gmail.com -> administrator ::
2016-06-03 21:18:36 :: administrator -> :: 2015
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Transferable1
Keywordsorientation tensor
tensor clustering
bag-of-features
human action recognition
AbstractIn this work, we present a new technique called Bag- of-tensors. This research aims to create a new method for video description based on tensors which takes into account the nature of the tensor and its anisotropic properties. Therefore, the Bag-of- tensors is composed by three main steps: Feature extraction with tensor creation, coding based on tensor clustering and aggregated pooling. For the task of human action recognition, we used the KTH dataset. Our experiments show that this technique is promising and interesting to be further explored.
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Languageen
Target Filepaper_id_13_wip2015.pdf
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virginiafernandesmota@gmail.com
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
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