Estimating Motion in Image Sequences Using Cellular Neural Networks

• Type: Article in International Scientific Journal
• Date: 2000

Authors

Stuart Rubin (Author) Other; Mariofanna Milanova (Author) Other; Aurélio Campilho (Author) FEUP

Journal

Title: Journal of Systemics, Cybernetics and Informatics

Vol. 6 No. 4

Pages: 1165-1171

ISSN: 1690-4524 (Online)

Other information

Abstract (EN): We present a novel algorithm for motion flow field estimation using cellular neural networks (CNN). We start from a mathematical viewpoint (i.e, statistical regularisation based on Markov Random Field (MRF) and proceed by mapping the algorithm onto a cellular neural network. Because of the temporal dynamics inherent in the cells of the CNN it is well suited to processing time-varying images. A robust motion estimation algorithm is achieved by using a spatio-temporal neighbourhood for modelling pixel interactions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7