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dc.contributor.authorPardàs Feliu, Montse
dc.contributor.authorSayrol Clols, Elisa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-05-03T14:18:18Z
dc.date.available2017-05-03T14:18:18Z
dc.date.issued2000
dc.identifier.citationPardas, M., Sayrol, E. A new approach to active contours for tracking. A: IEEE International Conference on Image Processing. "Proceedings ICIP 2000". Vancouver: Institute of Electrical and Electronics Engineers (IEEE), 2000.
dc.identifier.isbn0-7803-6300-0
dc.identifier.urihttp://hdl.handle.net/2117/103987
dc.description.abstractThis paper addresses the application of active contours or snakes for robust tracking of contours. Conventional snake approaches to tracking initialize the current frame snake with the snake obtained in the previous frame and then optimize this result considering only the current frame information. In our approach motion estimation is embedded in the energy minimization process of the snake. This is possible using a dynamic programming approach for this minimization and introducing a new term into the energy of the snake. In this way, larger displacements of the contour are allowed, and the tracking is more robust. This technique is applied for tracking facial features such as the contour of the face, the mouth, the nostrils and the eyebrows.
dc.format.extent1 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherGesture recognition
dc.subject.otherMotion estimation
dc.subject.otherMinimisation
dc.subject.otherDynamic programming
dc.subject.otherTracking
dc.titleA new approach to active contours for tracking
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/ICIP.2000.899295
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/abstract/document/899295/
dc.rights.accessOpen Access
local.identifier.drac2452383
dc.description.versionPostprint (published version)
local.citation.authorPardas, M.; Sayrol, E.
local.citation.contributorIEEE International Conference on Image Processing
local.citation.pubplaceVancouver
local.citation.publicationNameProceedings ICIP 2000


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