MODA: moving object detecting architecture

Cimagalli, V.; Bobbi, M.; Balsi, Marco

doi:10.1109/82.222816

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…This duality among the templates and the computer instructions is the basis of the above cited dual computing and let to the CNNUM introduction. CNNs have been used for lots of applications such as horizontal line detection, connected component detection, noise removal, edge and corner detection, halftoning, motion sensitive filtering, hole filling [1], [18], [19], [20], [21]. Moreover, some related applications useful for robotics have been presented [22], [23].…”

Section: Image Processingmentioning

confidence: 98%

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Cellular neural networks to explore complexity

Arena

Caponetto²,

Fortuna

et al. 1997

Soft Computing - A Fusion of Foundations, Methodologies and App

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In this paper the fundamentals of Cellular Neural Networks (CNNs) are introduced. Subsequently it is shown that, due to their locally distributed way of exchanging signals, such structures can be used as powerful devices to simulate and to reproduce, in an analog fashion and low cost, complex behaviors, i.e. dynamics commonly encountered in living systems, such as autonomous wave formation and propagation as well as morphogenetical pattern development. In fact it is proven that both of these behaviours can be simulated with CNNs with the same cell structure, and the thoroughly different dynamics can arise only suitably modulating the CNN cell parameters. Therefore a unifying approach to pattern formation and active wave propagation phenomena is presented. The derivation of the complex phenomena is analytically addressed and several simulation results are also reported.

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Section: Image Processingmentioning

confidence: 98%

“…In this case both the layers have been forced by inputs. More precisely the control template in (19) has been modified as follows: The input values of the two layers are the same and they have been reported in Fig. 11 where, as usual, the black pixel represents ;1 while the others are zero.…”

Section: Labyrinthsmentioning

confidence: 99%