Accumulative computation method for motion features extraction in active selective visual attention

A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim of this paper is to highlight the importance of the accumulative computation...

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Detalhes bibliográficos
Autores: López Valles, José María, Fernández Graciani, Miguel Ángel, Mira Mira, José, López Bonal, María Teresa, Delgado García, Ana Esperanza, Fernández Caballero, Antonio
Tipo de documento: artigo
Data de publicação:2005
País:España
Recursos:Universidad de Castilla-La Mancha
Repositório:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/2139
Acesso em linha:http://hdl.handle.net/10578/2139
Access Level:Acceso aberto
Palavra-chave:Ingenierías
Descrição
Resumo:A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim of this paper is to highlight the importance of the accumulative computation method for motion features extraction in the active selective visual attention model proposed. We calculate motion presence and velocity at each pixel of the input image by means of accumulative computation. The paper shows an example of how to use motion features to enhance scene segmentation in this active visual attention method.

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