Skip to main content
placeholder image

Motion estimation using a fuzzy neural network

Conference Paper


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.

Publication Date


  • 1995

Citation


  • Bouzerdoum, A., Kouzani, A. Z., & Liebelt, M. J. (1995). Motion estimation using a fuzzy neural network. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics Vol. 5 (pp. 4632-4636).

Scopus Eid


  • 2-s2.0-0029517102

Start Page


  • 4632

End Page


  • 4636

Volume


  • 5

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.

Publication Date


  • 1995

Citation


  • Bouzerdoum, A., Kouzani, A. Z., & Liebelt, M. J. (1995). Motion estimation using a fuzzy neural network. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics Vol. 5 (pp. 4632-4636).

Scopus Eid


  • 2-s2.0-0029517102

Start Page


  • 4632

End Page


  • 4636

Volume


  • 5