Title :
Motion estimation using a fuzzy neural network
Author :
Bouzerdoum, A. ; Kouzani, A.Z. ; Liebelt, M.J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
Abstract :
This paper introduces an algorithm for 2D 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
Keywords :
computer vision; fuzzy logic; fuzzy neural nets; fuzzy set theory; motion estimation; 2D motion detection; brightness pattern; fuzzy logic; fuzzy neural network; fuzzy set theory; motion estimation; velocity estimation; velocity vectors; Australia; Brightness; Fuzzy control; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Image sequences; Motion estimation; Pixel; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538526