Action identification using a descriptor with autonomous fragments in a multilevel prediction scheme
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Campo DC | Valor | Idioma |
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dc.contributor | Informática Industrial y Redes de Computadores | es_ES |
dc.contributor.author | Alcantara, Marlon Fernandes de | - |
dc.contributor.author | Moreira, Thierry Pinheiro | - |
dc.contributor.author | Pedrini, Helio | - |
dc.contributor.author | Flórez-Revuelta, Francisco | - |
dc.contributor.other | Universidad de Alicante. Departamento de Tecnología Informática y Computación | es_ES |
dc.date.accessioned | 2017-05-30T08:44:06Z | - |
dc.date.available | 2017-05-30T08:44:06Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.citation | Signal, Image and Video Processing. 2017, 11(2): 325-332. doi:10.1007/s11760-016-0940-3 | es_ES |
dc.identifier.issn | 1863-1703 (Print) | - |
dc.identifier.issn | 1863-1711 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/66390 | - |
dc.description.abstract | Recent technological advances have provided powerful devices with high processing and storage capabilities. Video cameras can be found in several different areas, such as banks, schools, stores, public streets and industry for a variety of tasks. Camera technology has increasingly improved, achieving higher resolution and acquisition frame rates. Nevertheless, most video analysis tasks are performed by human operators, whose performance may be affected by fatigue and stress. To address this problem, this work proposes and evaluates a method for action identification in videos through a new descriptor composed of autonomous fragments applied to a multilevel prediction scheme. The method is very fast and achieves over 90 % of accuracy in known public data sets. The developed system allows for the current video cameras the possibility of real-time action analysis, demonstrating to be a useful and powerful tool for surveillance purpose. | es_ES |
dc.description.sponsorship | The authors are thankful to FAPESP (Grants #2011/22749-8 and #2012/20738-1) and CNPq (Grant #307113/2012-4) for their financial support. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Springer London | es_ES |
dc.rights | © Springer-Verlag London 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/s11760-016-0940-3 | es_ES |
dc.subject | Action identification | es_ES |
dc.subject | Autonomous fragments | es_ES |
dc.subject | Video stream | es_ES |
dc.subject | Interest points | es_ES |
dc.subject.other | Arquitectura y Tecnología de Computadores | es_ES |
dc.title | Action identification using a descriptor with autonomous fragments in a multilevel prediction scheme | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1007/s11760-016-0940-3 | - |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s11760-016-0940-3 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
Aparece en las colecciones: | INV - I2RC - Artículos de Revistas INV - AmI4AHA - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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2017_Alcantara_etal_SIViP_final.pdf | Versión final (acceso restringido) | 831,65 kB | Adobe PDF | Abrir Solicitar una copia |
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