A region-based approach to face segmentation and tracking in video sequences

In this paper we propose an algorithm for face segmentation and tracking which is able to obtain the actual shape of a face present in a video sequence and track it in time. The face segmentation step relies on an initial partition of the image, based on color homogeneity, which is fine enough to co...

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Publicado: 2001
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana
http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p99_Vilaplana
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spelling paper:paper_03270793_v31_n2_p99_Vilaplana2023-06-08T15:33:09Z A region-based approach to face segmentation and tracking in video sequences Face detection Face segmentation Face tracking Principal component analysis In this paper we propose an algorithm for face segmentation and tracking which is able to obtain the actual shape of a face present in a video sequence and track it in time. The face segmentation step relies on an initial partition of the image, based on color homogeneity, which is fine enough to contain, among others, all the regions that form the face. Since a face contains a set of regions with chrominance homogeneity, the regions of the initial partition are merged following this criterion. The sequence of mergings is represented as a binary tree. For each node in the tree a similarity measure between the node and a face class is calculated. This measure is related to the likelihood of an image of being a face. The node which maximizes this likelihood is selected, giving a first estimate of the face. The final face is obtained by a refinement step that merges the remaining face regions to the face estimate. In the tracking step, the face partition in the previous image is motion compensated (projected) and the final face is obtained by a merging process. 2001 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p99_Vilaplana
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Face detection
Face segmentation
Face tracking
Principal component analysis
spellingShingle Face detection
Face segmentation
Face tracking
Principal component analysis
A region-based approach to face segmentation and tracking in video sequences
topic_facet Face detection
Face segmentation
Face tracking
Principal component analysis
description In this paper we propose an algorithm for face segmentation and tracking which is able to obtain the actual shape of a face present in a video sequence and track it in time. The face segmentation step relies on an initial partition of the image, based on color homogeneity, which is fine enough to contain, among others, all the regions that form the face. Since a face contains a set of regions with chrominance homogeneity, the regions of the initial partition are merged following this criterion. The sequence of mergings is represented as a binary tree. For each node in the tree a similarity measure between the node and a face class is calculated. This measure is related to the likelihood of an image of being a face. The node which maximizes this likelihood is selected, giving a first estimate of the face. The final face is obtained by a refinement step that merges the remaining face regions to the face estimate. In the tracking step, the face partition in the previous image is motion compensated (projected) and the final face is obtained by a merging process.
title A region-based approach to face segmentation and tracking in video sequences
title_short A region-based approach to face segmentation and tracking in video sequences
title_full A region-based approach to face segmentation and tracking in video sequences
title_fullStr A region-based approach to face segmentation and tracking in video sequences
title_full_unstemmed A region-based approach to face segmentation and tracking in video sequences
title_sort region-based approach to face segmentation and tracking in video sequences
publishDate 2001
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana
http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p99_Vilaplana
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