Algorithmic lateral inhibition formal model for real-time motion detection

Authors:
María T. López;Antonio Fernández-Caballero;Miguel A. Fernández;José Mira;Ana E. Delgado
Affiliations:
Universidad de Castilla-La Mancha, Instituto de Investigación en Informática, Escuela Politécnica Superior de Albacete, Albacete, Spain;Universidad de Castilla-La Mancha, Instituto de Investigación en Informática, Escuela Politécnica Superior de Albacete, Albacete, Spain;Universidad de Castilla-La Mancha, Instituto de Investigación en Informática, Escuela Politécnica Superior de Albacete, Albacete, Spain;Universidad Nacional de Educación a Distancia, E.T.S.I. Informática, Madrid, Spain;Universidad Nacional de Educación a Distancia, E.T.S.I. Informática, Madrid, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

Recently, the use of the algorithmic lateral inhibition (ALI) method in motion detection has shown to be very effective. The promising results in terms of the goodness of the silhouettes detected and tracked along video sequences lead us to accept the challenge of searching for a real-time implementation of the algorithms. This paper introduces two steps towards that direction: (a) A simplification of the general ALI method is performed by formally transforming it into a finite state machine. (b) A hardware implementation of such a designed ALI module, as well as an 8×8 ALI module, has been tested on several video sequences, providing promising performance results.