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dc.date.accessioned 2008-05-23T19:46:25Z
dc.date.available 2008-05-23T03:00:00Z
dc.date.issued 2005-12
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9596
dc.description.abstract A method is presented for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modelling the a posteriori probabilities of a set of features such as color, position and motion, depth, etc. en
dc.format.extent 218-224 es
dc.language en es
dc.subject Signal processing es
dc.subject Video (e.g., tape, disk, DVI) es
dc.subject Segmentation es
dc.subject Object recognition es
dc.title Semi-automatic object tracking in video sequences en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-9.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Lecumberry, Federico es
sedici.creator.person Pardo, Álvaro es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000629 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 4 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)