Título:
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Simultaneous and causal appearance learning and tracking
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Autor/a:
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Melenchón Maldonado, Javier; Iriondo Sanz, Ignasi; Meler Corretjé, Lourdes
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Otros autores:
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Universitat Ramon Llull. La Salle |
Abstract:
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A novel way to learn and track simultaneously the appearance of a previously non-seen face without
intrusive techniques can be found in this article. The presented approach has a causal behaviour: no future
frames are needed to process the current ones. The model used in the tracking process is refined with each
input frame thanks to a new algorithm for the simultaneous and incremental computation of the singular
value decomposition (SVD) and the mean of the data. Previously developed methods about iterative computation
of SVD are taken into account and an original way to extract the mean information from the reduced
SVD of a matrix is also considered. Furthermore, the results are produced with linear computational cost
and sublinear memory requirements with respect to the size of the data. Finally, experimental results are
included, showing the tracking performance and some comparisons between the batch and our incremental
computation of the SVD with mean information. |
Fecha de creación:
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08-2005 |
Materias (CDU):
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62 - Enginyeria. Tecnologia |
Materia(s):
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Imatges--Processament Imatges--Processament--Tècniques digitals Reconeixement facial (Informàtica) Reconeixement òptic de formes |
Derechos:
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© L'autor/a
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Páginas:
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11 p. |
Tipo de documento:
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Artículo Artículo - Versión publicada |
Editor:
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Universitat Autònoma de Barcelona
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Publish at:
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Electronic letters on computer vision and image analysis, Vol. 5, No 3 (2005)
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Compartir:
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