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dc.contributor.authorMarqués Acosta, Fernando
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-05-02T12:56:23Z
dc.date.available2017-05-02T12:56:23Z
dc.date.issued2000
dc.identifier.citationMarques, F., Vilaplana, V. A morphological approach for segmentation and tracking of human faces. A: International Conference on Pattern Recognition. "Proceedings of the 15th International Conference on Pattern Recognition". Barcelona: Barcelona, 2000.
dc.identifier.isbn0-7695-0750-6
dc.identifier.urihttp://hdl.handle.net/2117/103902
dc.description.abstractA new technique for segmenting and tracking human faces in video sequences is presented. The technique relies on morphological tools such as using connected operators to extract the connected component that more likely belongs to a face, and partition projection to track this component through the sequence. A binary partition tree (BPT) is used to implement the connected operator. The BPT is constructed based on the chrominance criteria and its nodes are analyzed so that the selected node maximizes an estimation of the likelihood of being part of a face. The tracking is performed using a partition projection approach. Images are divided into face and non-face parts, which are tracked through the sequence. The technique has been successfully assessed using several test sequences from the MPEG-4 (raw format) and the MPEG-7 databases (MPEG-1 format).
dc.format.extent1 p.
dc.language.isoeng
dc.publisherBarcelona
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherTrees (mathematics)
dc.subject.otherFace recognition
dc.subject.otherImage segmentation
dc.subject.otherOptical tracking
dc.subject.otherMathematical morphology
dc.subject.otherImage sequences
dc.subject.otherComputer vision
dc.titleA morphological approach for segmentation and tracking of human faces
dc.typeConference lecture
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/ICPR.2000.905655
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/905655/
dc.rights.accessOpen Access
local.identifier.drac2434219
dc.description.versionPostprint (published version)
local.citation.authorMarques, F.; Vilaplana, V.
local.citation.contributorInternational Conference on Pattern Recognition
local.citation.pubplaceBarcelona
local.citation.publicationNameProceedings of the 15th International Conference on Pattern Recognition


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