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dc.date.accessioned 2021-09-01T14:16:54Z
dc.date.available 2021-09-01T14:16:54Z
dc.date.issued 2012
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/123930
dc.description.abstract This work develops a pedestrian detection system using a feature space based on level lines, called Movement Feature Space (MFS). Besides detecting the movement in the scene, this feature space defines the descriptors used by the classifiers to identify pedestrians. Locations hypotheses of pedestrian are performed by a cascade of boosted classifiers. The validation of these regions of interest is carried out by a Support Vector Machine classifier. Results rise to 81 % of good detection rate, having 0.6 false alarms per image on average on the FRONT VIEW CAVIAR dataset. en
dc.format.extent 216-227 es
dc.language en es
dc.subject Pedestrian detection es
dc.subject Level Lines es
dc.subject Movement Feature Space es
dc.title Pedestrian detection on CAVIAR dataset using a movement feature space en
dc.type Objeto de conferencia es
sedici.identifier.uri https://41jaiio.sadio.org.ar/sites/default/files/19_AST_2012.pdf es
sedici.identifier.issn 1850-2806 es
sedici.creator.person Negri, Pablo es
sedici.creator.person Lotito, Pablo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2012-08
sedici.relation.event XIII Argentine Symposium on Technology (AST 2012) (XLII JAIIO, La Plata, 27 y 28 de agosto de 2012) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)