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

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dc.contributor.author Pérez Concha, Óscar
dc.contributor.author Patricio Guisado, Miguel Ángel
dc.contributor.author García, Jesús
dc.contributor.author Molina, José M.
dc.date.accessioned 2010-09-28T12:36:34Z
dc.date.available 2010-09-28T12:36:34Z
dc.date.issued 2006
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.isbn 978-3-540-33237-4
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10016/9321
dc.description 12 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.abstract Pedestrian 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.sponsorship Funded by CICYT (TIC2002-04491-C02-02)
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science
dc.relation.ispartofseries 3907/2006
dc.rights © Springer
dc.title Improving the Segmentation Stage of a Pedestrian Tracking Video-based System by means of Evolution Strategies
dc.type bookPart
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/11732242_39
dc.subject.eciencia Informática
dc.identifier.doi 10.1007/11732242_39
dc.rights.accessRights openAccess
dc.relation.eventdate Apr 10-12, 2006
dc.relation.eventnumber 8
dc.relation.eventplace Budapest (Hungary)
dc.relation.eventtitle European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP 2006)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 438
dc.identifier.publicationlastpage 449
dc.identifier.publicationtitle Applications of Evolutionary Computing, EvoWorkshops 2006
dc.identifier.publicationvolume 3907
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