Identity statement area
Reference TypeConference Proceedings
Last Update2013:
Metadata Last Update2020: administrator
Citation KeyMotaSouzAraúViei:2013:CoOrTe
TitleCombining Orientation Tensors for Human Action Recognition
DateAug. 5-8, 2013
Access Date2020, Dec. 03
Number of Files1
Size1080 KiB
Context area
Author1 Mota, Virgínia Fernandes
2 Souza, Jéssica Ione Conceição
3 Araújo, Arnaldo de Albuquerque
4 Vieira, Marcelo Bernardes
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Minas Gerais
3 Universidade Federal de Minas Gerais
4 Universidade Federal de Juiz de Fora
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2013-07-11 03:52:12 :: -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsHistogram of gradients, Orientation tensor, Motion description, Human action recognition.
AbstractThis paper presents a new tensor motion descriptor based on histogram of oriented gradients. We model the temporal evolution of gradient distribution with orientation tensors in equally sized blocks throughout the video sequence. Subsequently, these blocks are concatenated to create the final descriptor. Using a SVM classifier, even without any bag-of-feature based approach, our method achieves recognition rates greater than those found by other HOG techniques on KTH dataset and a competitive recognition rate for UCF11 and Hollywood2 datasets.
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