artículo de publicación periódica.page.titleprefix
Pedestrian tracking using probability fields and a movement feature space

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dc.contributor.authorNegri, Pablo
dc.contributor.authorGarayalde, Damián
dc.date.accessioned2019-07-10T13:52:40Z
dc.date.available2019-07-10T13:52:40Z
dc.date.issued2017-12
dc.description.abstract"Retrieving useful information from video sequences, such as the dynamics of pedestrians, and other moving objects on a video sequence, leads to further knowledge of what is happening on a scene. In this paper, a Target Framework associates each person with an autonomous entity, modeling its trajectory and speed by using a state machine. The particularity of our methodology is the use of a Movement Feature Space (MFS) to generate descriptors for classifiers and trackers. This approach is applied to two public sequences (PETS2009 and TownCentre). The results of this tracking outperform other algorithms reported in the literature, which have, however, a higher computational complexity."en
dc.identifier.issn2346-2183
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1639
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/reference/doi/10.15446/dyna.v84n200.57028
dc.relationinfo:eu-repo/grantAgreement/ANPCyT/PICT/2283/AR. Ciudad Autónoma de Buenos Aires
dc.relationinfo:eu-repo/grantAgreement/UADE/ACyT/ A15T14/AR. Ciudad Autónoma de Buenos Aires
dc.relationinfo:eu-repo/grantAgreement/CONICET/AR. Ciudad Autónoma de Buenos Aires
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPEATONESes
dc.subjectPROBABILIDADes
dc.subjectDINAMICAes
dc.subjectSEGUIMIENTOes
dc.titlePedestrian tracking using probability fields and a movement feature spaceen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/publishedVersion
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Negri, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiationFil: Negri, Pablo. Universidad Argentina de la Empresa; Argentina.
itba.description.filiationFil: Garayalde, Damian. Instituto Tecnológico de Buenos Aires; Argentina.

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