Integrated Action AT2009-0026
Visual Attention using Combinatorial Pyramids
VACOP
The aim of this project is to develop an
artificial visual attention model. This mechanism will be
responsible of extracting the relevant objects of the real
scene from the broad input of visual information provided by
the acquired video sequence. In order to build the saliency
map associated to the sensed scene, a novel perception-based
grouping process will be employed. This grouping process will
be performed by a hierarchical irregular structure which
should be able to preserve the topological information at
upper levels. Thus, these levels could be used to perform the
perceptual grouping process. Specifically, this project
proposes to study the application of combinatorial pyramids to
accomplish this task. Taking into account low-level image
features (e.g. colour contrast, edge or depth information),
the perception-based grouping process will extract from the
input video sequence, the different parts or ‘pre-attentive
objects’. These parts will correspond to units of visual
information that can be bound into coherent and stable objects.
In addition, the ability to handle dynamic scenarios will be
included in the proposed model by introducing a tracking
mechanism for moving objects. This mechanism will be also
performed using the same hierarchical structure, reducing the
computational time.
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Programa de Acciones Integradas
Duracion: 1 Enero 2010 - 31 Diciembre 2011 |
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