Dynamic stereoscopic selective visual attention (DSSVA): Integrating motion and shape with depth in video segmentation

Authors:
Antonio Fernández-Caballero;María T. López;Sergio Saiz-Valverde
Affiliations:
Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071 Albacete, Spain and Departamento de Sistemas Informáticos, Escuela Politéc ...;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071 Albacete, Spain and Departamento de Sistemas Informáticos, Escuela Politéc ...;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071 Albacete, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

Depth inclusion as an important parameter for dynamic selective visual attention is presented in this article. The model introduced in this paper is based on two previously developed models, dynamic selective visual attention and visual stereoscopy, giving rise to the so-called dynamic stereoscopic selective visual attention method. The three models are based on the accumulative computation problem-solving method. This paper shows how software reusability enables enhancing results in vision research (video segmentation) by integrating earlier works. In this article, the first results obtained for synthetic sequences are included to show the effectiveness of the integration of motion and shape features with depth parameter in video segmentation.