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Moving Object Detection Using Delayed - Cellular Neural Network = Geciktirilmiş Hücresel Yapay Sinir Ağları Kullanarak Hareketli Cisim Saptama

Author(s): Osman N. UÇAN | Lokman AĞIRMAN

Journal: Dogus University Journal
ISSN 1302-6739

Issue: 2;
Start page: 175;
Date: 2000;
Original page

Keywords: Delayed Cellular Neural Networks | Moving Object Detection

In this paper, we have studied moving objects in 2-D images using Delayed Cellular Neural Network (DCNN). DCNN was first introduced in 1993. It is shown that for a network whose cells are specified, complete asymptotic stability providing the delay is less than a bound which depends on only the cell parameters. Especially nowadays, only moving part of the whole image is getting more important according to the practical cases such as estimation of biomedical issues which is enlarging due to the cancer property. We have used Java language for our synthetic examples and satisfactory results were obtained.

Tango Jona
Tangokurs Rapperswil-Jona

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