A morphological approach for segmentation and tracking of human faces

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor.author	Marqués Acosta, Fernando
dc.contributor.author	Vilaplana Besler, Verónica
dc.date	2000
dc.identifier.citation	Marques, 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.citation	0-7695-0750-6
dc.identifier.citation	10.1109/ICPR.2000.905655
dc.identifier.uri	http://hdl.handle.net/2117/103902
dc.language.iso	eng
dc.publisher	Barcelona
dc.relation	http://ieeexplore.ieee.org/document/905655/
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Telecommunication
dc.subject	Trees (mathematics)
dc.subject	Face recognition
dc.subject	Image segmentation
dc.subject	Optical tracking
dc.subject	Mathematical morphology
dc.subject	Image sequences
dc.subject	Computer vision
dc.subject	Telecomunicació
dc.title	A morphological approach for segmentation and tracking of human faces
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	A 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.description.abstract	Peer Reviewed

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