DocumentCode
3183901
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
Volume
5
fYear
1995
fDate
22-25 Oct 1995
Firstpage
4632
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.1995.538526
Filename
538526
Link To Document