Details

Autor(en) / Beteiligte

• Balsi, M.

Titel

Regularization-based continuous-time motion detection by single-layer cellular neural networks

Ist Teil von

• Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509), 2000, p.135-140

Ort / Verlag

IEEE

Erscheinungsjahr

2000

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• Regularization theory is proposed for systematic design of linear- and nonlinear-connection-based cellular neural networks (CNN). In this paper, after stating the basics of regularization-based design of CNNs, such methodology is applied to the problem of continuous-time motion field estimation in moving images. A single-layer solution is thus obtained and simulated, paving the way to full two-dimensional focal-plane real-time motion detection circuit implementation.