Motion estimation using a fuzzy neural network

A. Bouzerdoum*, A. Z. Kouzani, M. J. Liebelt

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper introduces an algorithm for two-dimensional (2-D) motion detection and velocity estimation, based on fuzzy logic. In the proposed algorithm, velocity vectors are calculated at each pixel of the image by comparing brightness patterns in consecutive image frames using fuzzy relations. A fuzzy control mechanism is employed to strengthen or weaken the results of the comparisons. The algorithm is implemented with a five-layer fuzzy neural network. Results of simulations show that the proposed algorithm performs well even in the presence of noise.

Original languageEnglish
Pages (from-to)4632-4636
Number of pages5
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume5
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Can
Duration: 22 Oct 199525 Oct 1995

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