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Improving the Segmentation Stage of a Pedestrian Tracking Video-based System by means of Evolution Strategies

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorPérez Concha, Óscar
dc.contributor.authorPatricio Guisado, Miguel Ángel
dc.contributor.authorGarcía, Jesús
dc.contributor.authorMolina, José M.
dc.date.accessioned2010-09-28T12:36:34Z
dc.date.available2010-09-28T12:36:34Z
dc.date.issued2006
dc.description12 pages, 7 figures.-- Contributed to: Eighth European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP 2006, Budapest, Hungary, Apr 10-12, 2006).
dc.description.abstractPedestrian tracking video-based systems present particular problems such as the multi fragmentation or low level of compactness of the resultant blobs due to the human shape or movements. This paper shows how to improve the segmentation stage of a video surveillance system by adding morphological post-processing operations so that the subsequent blocks increase their performance. The adjustment of the parameters that regulate the new morphological processes is tuned by means of Evolution Strategies. Finally, the paper proposes a group of metrics to assess the global performance of the surveillance system. After the evaluation over a high number of video sequences, the results show that the shape of the tracks match up more accurately with the parts of interests. Thus, the improvement of segmentation stage facilitates the subsequent stages so that global performance of the surveillance system increases.
dc.description.sponsorshipFunded by CICYT (TIC2002-04491-C02-02)
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation“Applications of Evolutionary Computing, EvoWorkshops 2006”. Ed. F. Rothlauf et al. Lecture Notes in Computer Science 3907, pp 438-449 (Springer-Verlag, 2006)
dc.identifier.doi10.1007/11732242_39
dc.identifier.isbn978-3-540-33237-4
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage438
dc.identifier.publicationlastpage449
dc.identifier.publicationtitleApplications of Evolutionary Computing, EvoWorkshops 2006
dc.identifier.publicationvolume3907
dc.identifier.urihttps://hdl.handle.net/10016/9321
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateApr 10-12, 2006
dc.relation.eventnumber8
dc.relation.eventplaceBudapest (Hungary)
dc.relation.eventtitleEuropean Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP 2006)
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.ispartofseries3907/2006
dc.relation.publisherversionhttp://dx.doi.org/10.1007/11732242_39
dc.rights© Springer
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleImproving the Segmentation Stage of a Pedestrian Tracking Video-based System by means of Evolution Strategies
dc.typeconference proceedings*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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