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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
López, M. T., Fernández-Caballero, A., Fernández, M. A., Mira, J., & Delgado, A. E. (2007). Algorithmic lateral inhibition formal model for real-time motion detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4739 LNCS, pp. 638–645). Springer Verlag. https://doi.org/10.1007/978-3-540-75867-9_80
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