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Title:
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A morphological approach for segmentation and tracking of human faces
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Author:
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Marqués Acosta, Fernando; Vilaplana Besler, Verónica
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
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Abstract:
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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). |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
-Telecommunication
-Trees (mathematics)
-Face recognition
-Image segmentation
-Optical tracking
-Mathematical morphology
-Image sequences
-Computer vision
-Telecomunicació |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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Barcelona
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