Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Background Modeling by Weightless Neural Networks
verfasst von : Massimo De Gregorio, Maurizio Giordano
Erschienen in: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Background initialization is the task of computing a background model by processing a set of preliminary frames in a video scene. The initial background estimation serves as bootstrap model for video segmentation of foreground objects, although the background estimation could be refined and updated in steady state operation of video processing systems. In this paper we approach the background modeling problem with a weightless neural network called WiSARD
$$^{rp}$$
. The proposed approach is straightforward, since the computation is pixel–based and it exploits a dedicated neural network to model the pixel background by using the same training rule.