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

Authors:
Antonio Fernández-Caballero;María T. López;Miguel A. Fernández;José Mira;Ana E. Delgado;José M. López-Valles
Affiliations:
E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain;E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain;E.U.P.C., Universidad de Castilla-La Mancha, Cuenca, Spain
Venue:
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Year:
2004

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Abstract

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.